Journal articles: 'Webpage'

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Liu, Jie, Ling Bai, and Xiang Yang Huang. "A Method Shielding the Chinese Game Webpage Based on Ontology." Advanced Materials Research 219-220 (March 2011): 1454–58. http://dx.doi.org/10.4028/www.scientific.net/amr.219-220.1454.

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As online gaming addiction has a serious impact on the healthy growth of young people, this paper presents a method that uses the ontology to shield Chinese game webpage. This method, based on positive example webpages and counter example webpages to calculate weight of feature words, to establish domain feature thesaurus and make ontology; then according to positive example WebPages, calculate weight of ontology elements in all parts of webpage to get ontology element weight database; then intercept webpage from the network application layer, identify candidate webpage (candidate) based on domain feature thesaurus; finally carry out semantic relevancy computing and shielding the game webpages in candidates. Experiments showed the shielding accuracy rate had arrived 98.8%. The principle of the method can be extended to other domains.

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Wang, Dong Mei, Ming Ma, and Yan Sun. "Sensitive Webpage Filter Based on Multiple Filtering." Applied Mechanics and Materials 241-244 (December 2012): 2891–96. http://dx.doi.org/10.4028/www.scientific.net/amm.241-244.2891.

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In order to improve the accuracy and real-time performance of webpage filtering, a sensitive webpage filter based on multiple filtering was designed. Firstly, the URL is gained from IE browser’s address bar by BHO technology; Secondly, match the webpage text with sensitive vocabulary database using SMA algorithm; Finally, use the sensitive image detecting algorithm combing face detection, skin detection, skin text detection and classification to filter sensitive images in the webpage. The Simulation experimental results showed that the sensitive webpage filter can effectively intercept and filter sensitive webpages, meeting the accuracy and the real-time requirement of webpage filtering.

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Feng, Jian, Yuqiang Qiao, Ou Ye, and Ying Zhang. "Detecting phishing webpages via homology analysis of webpage structure." PeerJ Computer Science 8 (February 1, 2022): e868. http://dx.doi.org/10.7717/peerj-cs.868.

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Phishing webpages are often generated by phishing kits or evolved from existing kits. Therefore, the homology analysis of phishing webpages can help curb the proliferation of phishing webpages from the source. Based on the observation that phishing webpages belonging to the same family have similar page structures, a homology detection method based on webpage clustering according to structural similarity is proposed. The method consists of two stages. The first stage realizes model construction. Firstly, it extracts the structural features and style attributes of webpages through the document structure and vectorizes them, and then assigns different weights to different features, and measures the similarity of webpages and guides webpage clustering by webpage difference index. The second phase completes the detection of webpages to be tested. The fingerprint generation algorithm using double compressions generates fingerprints for the centres of the clusters and the webpages to be tested respectively and accelerates the detection process of the webpages to be tested through bitwise comparison. Experiments show that, compared with the existing methods, the proposed method can accurately locate the family of phishing webpages and can detect phishing webpages efficiently.

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Yuk, Simun, and Youngho Cho. "A Time-Based Dynamic Operation Model for Webpage Steganography Methods." Electronics 9, no. 12 (December 10, 2020): 2113. http://dx.doi.org/10.3390/electronics9122113.

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The webpage steganography technique has been used for a covert communication method for various purposes in which a sender embeds a secret message into a plain webpage file like an HTML file by using various steganography methods. With human eyes, it is very difficult to distinguish between the original webpage (cover webpage) and the modified webpage with the secret data (stego webpage) because both are displayed alike in a web browser. In this approach, when two communicating entities want to share a secret message, a sender uploads a stego webpage to a web server or modifies an existing webpage in the web server by using a webpage steganography method, and then a receiver accesses the stego webpage to download and extract the embedded secret data from it. Meanwhile, according to our extensive survey, we observed that most webpage steganography methods focused on proposing or improving steganography algorithms but did not well address how to operate a stego webpage as time passes. However, if a stego webpage is used in a static way such that the stego webpage does not change and is constantly exposed to web clients until the sender removes it, such a static operation approach will limit or badly affect the hiding capacity and undetectability of a webpage steganography method. By this motivation, in this paper, we proposed a time-based dynamic operation model (TDOM) that improves the performance of existing webpage steganography methods in terms of hiding capacity and undetectability by dynamically replacing the stego webpage with other stego webpages or the original webpage. In addition, we designed two time-based dynamic operation algorithms (TDOA-C and TDOA-U), which improve the hiding capacity of existing methods and TDOA-U for improving the undetectability of existing methods, respectively. To validate our model and show the performance of our proposed algorithms, we conducted extensive comparative experiments and numerical analysis by implementing two webpage steganography methods with our TDOM (CCL with TDOA-C and COA with TDOA-C) and tested them in the web environment. According to our experiments and analysis, our proposed algorithms could significantly improve the hiding capacity and undetectability of two existing webpage steganography methods.

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Yuan, Xiao Yan. "Research on Search Sorting Algorithm Based on Multi-Dimensional Matching." Advanced Materials Research 926-930 (May 2014): 3195–99. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.3195.

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Since the current search sorting algorithms cannot find the desirable webpages quickly and accurately, a novel search sorting algorithm based on multi-dimensional matching is proposed in this study. This algorithm computes the semantic similarity of search terms based on ontology concept, and then the relevance of temporal information of those search terms with time of webpage. As a result, the relevance of the search term with the content of the webpage is calculated, hence realizing most appropriate webpage sorting. Finally, several methods are compared in terms of their average precisions and average recall ratios.

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Jayalakshmi, N., P. Padmaja, and G. Jaya Suma. "Webpage Recommendation System Using Interesting Subgraphs and Laplace Based k-Nearest Neighbor." International Journal of Pattern Recognition and Artificial Intelligence 34, no. 03 (July 10, 2019): 2053003. http://dx.doi.org/10.1142/s0218001420530031.

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An interesting research area that permits the user to mine the significant information, called frequent subgraph, is Graph-Based Data Mining (GBDM). One of the well-known algorithms developed to extract frequent patterns is GASTON algorithm. Retrieving the interesting webpages from the log files contributes heavily to various applications. In this work, a webpage recommendation system has been proposed by introducing Chronological Cuckoo Search (Chronological-CS) algorithm and the Laplace correction based k-Nearest Neighbor (LKNN) to retrieve the useful webpage from the interesting webpage. Initially, W-Gaston algorithm extracts the interesting subgraph from the log files and provides it to the proposed webpage recommendation system. The interesting subgraphs subjected to clustering with the proposed Chronological-CS algorithm, which is developed by integrating the chronological concept into Cuckoo Search (CS) algorithm, provide various cluster groups. Then, the proposed LKNN algorithm recommends the webpage from the clusters. Simulation of the proposed webpage recommendation algorithm is done by utilizing the data from MSNBC and weblog database. The results are compared with various existing webpage recommendation models and analyzed based on precision, recall, and F-measure. The proposed webpage recommendation model achieved better performance than the existing models with the values of 0.9194, 0.8947, and 0.86736, respectively, for the precision, recall, and F-measure.

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Maity, Ranjan, and Samit Bhattacharya. "A Quantitative Approach to Measure Webpage Aesthetics." International Journal of Technology and Human Interaction 16, no. 2 (April 2020): 53–68. http://dx.doi.org/10.4018/ijthi.2020040105.

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Aesthetics measurement is important in determining and improving the usability of a webpage. Wireframe models, the collection of the rectangular objects, can approximate the size and positions of the different webpage elements. The positional geometry of these objects is primarily responsible for determining aesthetics as shown in studies. In this work, the authors propose a computational model for predicting webpage aesthetics based on the positional geometry features. In this study, the authors found that ten out of the thirteen reported features are statistically significant for webpage aesthetics. Using these ten features, the authors developed a computational model for webpage aesthetics prediction. The model works on the basis of support vector regression. The authors rated the wireframe models of 209 webpages by 150 participants. The average users' ratings and the ten significant features' values were used to train and test the aesthetics prediction model. Five-fold cross-validation technique shows the model can predict aesthetics with a Root Mean Square Error (RMSE) of only 0.42.

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Lybrand, Evan, Mary Micciche, Burton Tienken, Jaclyn Cichowicz, Marisa Fries, Mark Senk, and Megan Casey. "1426. Increased Visits to Respiratory Protection Webpages during COVID-19." Open Forum Infectious Diseases 7, Supplement_1 (October 1, 2020): S719. http://dx.doi.org/10.1093/ofid/ofaa439.1608.

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Abstract Background COVID-19 transmission is thought to occur mainly via respiratory droplets produced when an infected person coughs or sneezes. Respiratory protection devices, when properly fitted and used, can prevent this type of illness transmission. Methods The Centers for Disease Control and Prevention’s National Personal Protective Technology Laboratory (NPPTL) within the National Institute of Occupational Safety and Health (NIOSH) is responsible for the certification and approval of respirators for use in occupational settings. NPPTL maintains webpages with information on respiratory protection devices. We monitored the number of webpage views for several NPPTL webpages from January 1, 2020 to May 8, 2020. The number of webpage visits was then compared to significant events during the COVID-19 outbreak as well as the previous year’s webpage visits. Results The landing page for NIOSH-approved N95 respirators received the most visits. This page received a total of 1,637,250 webpage visits with a peak of 63,715 on February 26, 2020, a 38,989% increase from the average daily page visits for that same month in 2019. This occurred on the same day as the White House gave its first televised briefing on COVID-19. The page providing general information on filtering facepiece respirators, including N95 respirators received 834,186 webpage visits with a peak of 20,520 on April 3, 2020, a 13,659% increase from the average daily webpage visits for that same month in 2019. This occurred on the same date as new CDC recommendations were provided for using cloth face masks in public places. The counterfeit respirator page maintained a steady, but small number of webpage visits, but increased from 4,261 on March 27, 2020 to 68,145 on March 29, 2020. This occurred as the first reports of fraudulent respirators were being published in the media. It then fell to 18,562 on March 30, 2020 and 13,093 on March 31, 2020. While most webpage visits were from the United States, visits from China, and Canada were higher than previous years. Conclusion During COVID-19 there was a large increase in the number of webpage visits for respiratory protection information which coincided with major events and media reports. Accurate, accessible respiratory protection information is an important resource during public health emergencies. Disclosures All Authors: No reported disclosures

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Thangasamy, Vasantha. "Efficacious Hyperlink Based Similarity Measure Using Heterogeneous Propagation of PageRank Scores." International Journal of Information Retrieval Research 9, no. 4 (October 2019): 36–49. http://dx.doi.org/10.4018/ijirr.2019100104.

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Information available on the internet is wide, diverse, and dynamic. Since an enormous amount of information is available online, finding similarity between webpages using efficient hyperlink analysis is a challenging task. In this article, the researcher proposes an improved PageSim algorithm which measurse the importance of a webpage based on the PageRank values of connected webpage. Therefore, the proposed algorithm uses heterogeneous propagation of the PageRank score, based on the prestige measure of each webpage. The existing and the improved PageSim algorithms are implemented with a sample web graph. Real time Citation Networks, namely the ZEWAIL Citation Network and the DBLP Citation Network are used to test and compare the existing and improved PageSim algorithms. By using this proposed algorithm, it has been found that a similarity score between two different webpages significantly increases based on common information features and significantly decreases based on distinct factors.

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Pleasants, Elizabeth, Sylvia Guendelman, Karen Weidert, and Ndola Prata. "Quality of top webpages providing abortion pill information for Google searches in the USA: An evidence-based webpage quality assessment." PLOS ONE 16, no. 1 (January 21, 2021): e0240664. http://dx.doi.org/10.1371/journal.pone.0240664.

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Background In the United States, the internet is widely used to seek health information. Despite an estimated 18 million Google searches on abortion per year and the demonstrated importance of the abortion pill as an option for pregnancy termination, the top webpage search results for abortion pill searches, as well as the content and quality of those webpages, are not well understood. Methods We used Google’s Custom Search Application Programming Interface (API) to identify the top 10 webpages presented for “abortion pill” searches on August 06, 2018. We developed a comprehensive, evidence-based Family Planning Webpage Quality Assessment Tool (FPWQAT), which was used to assess webpage quality for the five top webpages presenting text-based educational content. Results Of the top webpages for “abortion pill” searches, a plannedparenthood.com page was the top result and scored highest on our assessment (81%), providing high-quality and useable information. The other four webpages, a Wikipedia.com page and three anti-abortion information webpages, scored much lower on our assessment (14%-43%). These four webpages had lower quality of information in less useable formats. The anti-abortion pages also presented a variety of disinformation about the abortion pill. Conclusions Both the lack of accurate clinical content on the majority of top webpages and the concerning disinformation they contained raise concerns about the quality of online abortion pill information, while underlining challenges posed by Google search results to informed choice for consumers. Healthcare providers and consumers must be informed of online abortion pill content that is not based in current clinical evidence, while advocates and policymakers should push for online information that is credible and useable. These changes are imperative given the importance of sound abortion pill information for reproductive decision-making at a time when in-person abortion services are further challenged in the US.

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Chapman, Lara, Charlotte Brooks, Jem Lawson, Cynthia Russell, and Jo Adams. "Accessibility of online self-management support websites for people with osteoarthritis: A text content analysis." Chronic Illness 15, no. 1 (December 18, 2017): 27–40. http://dx.doi.org/10.1177/1742395317746471.

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Objectives This study assessed accessibility of online self-management support webpages for people with osteoarthritis by considering readability of text and inclusion of images and videos. Methods Eight key search terms developed and agreed with patient and public involvement representatives were entered into the Google search engine. Webpages from the first page of Google search results were identified. Readability of webpage text was assessed using two standardised readability indexes, and the number of images and videos included on each webpage was recorded. Results Forty-nine webpages met the inclusion criteria and were assessed. Only five of the webpages met the recommended reading level for health education literature. Almost half (44.9%) of webpages did not include any informative images to support written information. A minority of the webpages (6.12%) included relevant videos. Discussion Information provided on health webpages aiming to support patients to self-manage osteoarthritis may not be read, understood or used effectively by many people accessing it. Recommendations include using accessible language in health information, supplementing written information with visual resources and reviewing content and readability in collaboration with patient and public involvement representatives.

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Guercio, Angela, Kathleen A. Stirbens, Joseph Williams, and Charles Haiber. "Addressing Challenges in Web Accessibility for the Blind and Visually Impaired." International Journal of Distance Education Technologies 9, no. 4 (October 2011): 1–13. http://dx.doi.org/10.4018/ijdet.2011100101.

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Searching for relevant information on the web is an important aspect of distance learning. This activity is a challenge for visually impaired distance learners. While sighted people have the ability to filter information in a fast and non sequential way, blind persons rely on tools that process the information in a sequential way. Learning is slowed by screen readers which do not interact well with web pages. This paper introduces WAVES, a tool for the fast retrieval of information in a web page for blind and visually impaired people. The paper describes the WAVES prototype, a system that performs a page restructuring of webpages. The system analyzes webpages, identifies elements of interests from a webpage, evaluates their importance by using semantic information and visual cues, sorts them by importance and uses them to restructure the webpage so that data from the original webpage are presented to the reader in a concise format. A preliminary evaluation test of the prototype system has been performed with a sample set of users. The results of the preliminary test show an increase in speed and accuracy when the WAVES system has been used.

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Sun, Huiyou, Shuangyuan Li, and Mingqian Jia. "Design and Implementation of 3D Effect Web Page Based on JavaScript Technology." ITM Web of Conferences 25 (2019): 02004. http://dx.doi.org/10.1051/itmconf/20192502004.

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With the development of Internet technology, people's production and life are greatly influenced. Web design is widely used in Internet world. Web design and user experience are inseparable. In the pursuit of webpage layout and aesthetics, but also to add user interaction functions, Dynamic effects technology based on JavaScript can achieve user interaction requirements. The perfect combination of JavaScript dynamic effects and interactive features is the best way to achieve webpage effects. This paper expounds the application method of JavaScript, and studies the special effect application of JavaScript technology in webpages through examples.

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Schmidt, Kristi E., and Yili Liu. "Design of Consumer Product Webpages: Experimental Investigations of Aesthetic and Performance Factors." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 49, no. 18 (September 2005): 1743–46. http://dx.doi.org/10.1177/154193120504901814.

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Consumer products are increasingly being purchased online, yet the surge in e-commerce for the sale of retail products was not paired with widespread design savvy or consideration for usability. In this paper, two experimental investigations of aesthetic and performance factors affecting the design of consumer product webpages yield results that designers can use to help create webpages that are useful, usable, and desirable in the competitive e-commerce environment. This research shows how aesthetic and overall preference, ease of use, and interaction speed vary as a function of webpage link color and style, quantity of webpage information, loading speed, and display complexity. Aesthetic preference increases as column width, display complexity, and loading speed increase, and varies with link style. Ease of use and interaction time also vary with link style.

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Sankpal, Lata Jaywant, and Suhas H. Patil. "Rider-Rank Algorithm-Based Feature Extraction for Re-ranking the Webpages in the Search Engine." Computer Journal 63, no. 10 (June 12, 2020): 1479–89. http://dx.doi.org/10.1093/comjnl/bxaa032.

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Abstract The webpage re-ranking is a challenging task while retrieving the webpages based on the query of the user. Even though the webpages in the search engines are ordered depends on the importance of the content, retrieving the necessary documents based on the input query is quite difficult. Hence, it is required to re-rank the webpages available in the websites based on the features of the pages in the search engines, like Google and Bing. Thus, an effective Rider-Rank algorithm is proposed to re-rank the webpages based on the Rider Optimization Algorithm (ROA). The input queries are forwarded to different search engines, and the webpages generated from the search engines with respect to the input query are gathered. Initially, the keywords are generated for the webpages. Then, the top keyword is selected, and the features are extracted from the top keyword using factor-based, text-based and rank-based features of the webpage. Finally, the webpages are re-ranked using the Rider-Rank algorithm. The performance of the proposed approach is analyzed based on the metrics, such as F-measure, recall and precision. From the analysis, it can be shown that the proposed algorithm obtains the F-measure, recall and precision of 0.90, 0.98 and 0.84, respectively.

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Nie, Zaiqing, Ji-Rong Wen, and Wei-Ying Ma. "Webpage understanding." ACM SIGMOD Record 37, no. 4 (March 20, 2009): 48–54. http://dx.doi.org/10.1145/1519103.1519111.

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Hasan, Fares, Koo Kwong Ze, Rozilawati Razali, Abudhahir Buhari, and Elisha Tadiwa. "An IMPROVED PAGERANK ALGORITHM BASED ON A HYBRID APPROACH." Science Proceedings Series 2, no. 1 (April 9, 2020): 17–21. http://dx.doi.org/10.31580/sps.v2i1.1215.

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PageRank is an algorithm that brings an order to the Internet by returning the best result to the users corresponding to a search query. The algorithm returns the result by calculating the outgoing links that a webpage has thus reflecting whether the webpage is relevant or not. However, there are still problems existing which relate to the time needed to calculate the page rank of all the webpages. The turnaround time is long as the webpages in the Internet are a lot and keep increasing. Secondly, the results returned by the algorithm are biased towards mainly old webpages resulting in newly created webpages having lower page rankings compared to old webpages even though new pages might have comparatively more relevant information. To overcome these setbacks, this research proposes an alternative hybrid algorithm based on an optimized normalization technique and content-based approach. The proposed algorithm reduces the number of iterations required to calculate the page rank hence improving efficiency by calculating the mean of all page rank values and normalising the page rank value through the use of the mean. This is complemented by calculating the valid links of web pages based on the validity of the links rather than the conventional popularity.

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Mylsami, T., and B. L. Shivakumar. "Effectiveness of Ant Colony Optimization for Weighted Page Rank Algorithm in Web Access." International Journal of Advanced Research in Computer Science and Software Engineering 7, no. 7 (July 30, 2017): 375. http://dx.doi.org/10.23956/ijarcsse/v7i7/0223.

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In general the web is growing very rapidly and data generation is also vast and high. Search Engines play an eminent role in retrieving data from web. The user searching for a topic in a web and it retrieves more than hundreds of searchresults as websites. Among the all websites it is difficult for the user to access all the web pages to find relevant information. Weighted Page rank algorithms play a dominant role to make navigation easier to the user. The popularity of a web page depends on the number of its in links and out links and each webpage gets a proportional page rank value. This algorithm considers only link structure not thecontent of the page, so it returns lesssignificant pages to the user query. To overcome the above issues the study focuses on Ant Colony optimization. This study proposes application of ant colony algorithm for modified weighted page rank algorithm. The ACO concept will discovery of redundant components, use clustering based on the structure similarity or web behavior for user and similar WebPages matching. User and webpage similarity matching using Ant colony Optimization based clustering will leads to better access of the webpage in less time and required webpage.

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Gupta, Brij B., and Ankit Kumar Jain. "Phishing Attack Detection using a Search Engine and Heuristics-based Technique." Journal of Information Technology Research 13, no. 2 (April 2020): 94–109. http://dx.doi.org/10.4018/jitr.2020040106.

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The language used in the textual content of the webpage is the barrier in most of the existing anti-phishing methods. Most of the existing anti-phishing methods can identify the fake webpages written in the English language only. Therefore, we present a search engine-based method in this article, which identifies phishing webpages accurately regardless of the textual language used within the webpage. The proposed search engine-based method uses a lightweight, consistent and language independent search query to detect the legality of the suspicious URL. We have also integrated five heuristics with the search engine-based mechanism to improve the detection accuracy, as some newly created legitimate sites may not appear in the search engine. The proposed method can also correctly classify the newly created legitimate sites that are not classified by available search engine-based methods. Evaluation results show that our method outperforms the available search-based techniques and achieves 98.15% TPR of and only 0.05% FPR.

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Rijal, Yusron, and Awalia Nofitasari. "Filter Halaman Web Pornografi Menggunakan Kecocokan Kata dan Deteksi Warna Kulit." CAUCHY 1, no. 4 (May 15, 2011): 207. http://dx.doi.org/10.18860/ca.v1i4.1795.

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This paper presents an effort to detect pornographic webpages. It was stated that a positive relationship exists between percentage of human skin color in an image and the image itself (Jones et.al., 1998). Based on the statement, rather than using the traditional method of text-filtering, this paper propose a new approach to detect pornographic images by using skin color detection. The skin color detection performed by using RGB, HSI, and YCbCr color model. Using algorithm stated by Ap-apid (Ap-apid, 2005), the system will classify nude and not-nude images. If one or more nude images are found, the system will block the webpage. Keywords: Webpage Filtering, Image Processing, Pornography, Nudity, Skin Color, Nude Images

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Yang, Shih-Ting, and Chia-Wei Huang. "A Two-Dimensional Webpage Classification Model." International Journal of Data Warehousing and Mining 13, no. 2 (April 2017): 13–44. http://dx.doi.org/10.4018/ijdwm.2017040102.

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Regarding the webpage classification topics, most classification mechanisms may lack of consideration from the webpage article writer's perspective and the display characteristics of the webpage (color, graphic layout). Hence, this paper develops a Two-dimensional Webpage Classification model to analyze the webpage textual information and display characteristics from the perspectives of webpage users and designers. This model is consisted of the Webpage Block Distribution Analysis (WBDA) module, Webpage Emotion Category Determination (WECD) module and Webpage Specialty Category Determination (WSCD) module. Firstly, in WBDA module, the user and designer habits (such as the web browsing movement and the writing perspective of webpage) should be considered by combining with the eye movement tracking and tag-region judgment to determine the critical blocks and information of the webpage. Secondly, in WECD module, the webpage color codes are acquired to calculate the major colors of the webpage, and further determine the emotional category of webpage. Thirdly, the WSCD module analyzes the webpage textual information by integrating the keyword acquisition technology to identify the specialty category of the webpage. After that, the Two-dimensional category of the webpage can be obtained. In addition, this paper develops a web-based system accordingly for case verification to confirm the feasibility of the methodology. The verification results show that firstly for webpage emotion category judgment when 128 webpage files for training are imported into this system, the respondent's emotion evaluation score is increased to above Level 5 and the system recommendation success rate is increased to 75.78%. Secondly, for specialty category determination, when system uses 1010 to 1120 webpage files for training, the system performance can be increased to above 80%. Hence, the developed system has a high-performance level in webpage emotion category and specialty category determination. That is, this paper proposes a methodology of Two-dimensional Webpage Classification to classify the webpage file information contents and the effects on the emotions of the demanders to assist webpage providers in providing webpage suitable for demanders with the generated two-dimensional information of the webpage.

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Daszyńska-Daszkiewicz, J. "Wroc_aw HELAS Webpage." Communications in Asteroseismology 153 (2008): 106–7. http://dx.doi.org/10.1553/cia_153s106.

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Okoroafo, Sam C. "AFRICAN WEBPAGE REVIEW." Journal of African Business 1, no. 1 (January 2000): 123–24. http://dx.doi.org/10.1300/j156v01n01_11.

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Nazar, Shenara, Neethu Babu, Mariya K T, and Shyam Krishna K. "Multiuser Webpage Revisitation." International Journal of Engineering Trends and Technology 67, no. 5 (May 25, 2019): 7–12. http://dx.doi.org/10.14445/22315381/ijett-v67i5p202.

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Miller, James, Abhimanyu Panwar, and Iosif Viorel Onut. "Towards Building a New Age Commercial Contextual Advertising System." International Journal of Systems and Service-Oriented Engineering 7, no. 3 (July 2017): 1–14. http://dx.doi.org/10.4018/ijssoe.2017070101.

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Advertising via the Internet is a significant industry; however, in many ways, the industry is still in its infancy and still requires significant refinement to achieve its full potential. In contextual advertising (CA), the ad-network places ads related to the content of the publishers' webpages. In this article, the authors introduce an approach to implement a CA system for an ad-network. Their contributions are threefold: First, they propose schemes to prepare feature vectors of a webpage for the purpose of classification by its subject. To do so, the authors extract information from its peer webpages as well. Secondly, they prepare a suitable taxonomy from ODP. This taxonomy fulfils the requirements of a CA system such as broad coverage of semantically relevant topics etc. Thirdly, they conduct experiments on the proposed CA system architecture. The results establish the competence of the proposed approach. The authors empirically establish that the scheme which extracts information from the intersection of cues from web accessibility and search engine optimisation, of the target webpage provides the best accuracy among all the CA systems.

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Qi, Tao, Bo Wang, and Su Juan Zhao. "The Research of Website Tamper-Resistant Technology." Advanced Materials Research 850-851 (December 2013): 475–78. http://dx.doi.org/10.4028/www.scientific.net/amr.850-851.475.

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Webpage tamperproof technology is a website technology to protect webpage not to display tamper contents and to carry out real-time recovery. Webpage tamperproof system uses advanced Web server core embedded technology and tamper detection technology based on cryptography to give a comprehensive protection of static webpage and dynamic webpage of the website. Webpage tamperproof system supports the automatic release, tamper detection, application protection, warning, and real-time recovery of webpage, guarantees the safety of various links of transmission, identification, address access, form submission, and auditing, fully eliminates the possibility of access to tampered webpage in a real-time manner, and puts an end to any tamper of backstage database in a manner of Web.

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Choi, Ben. "Knowledge Engineering the Web." International Journal of Machine Learning and Computing 11, no. 1 (January 2021): 68–76. http://dx.doi.org/10.18178/ijmlc.2021.11.1.1016.

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This paper focuses on the largest source of human knowledge: The Web. It presents the state of the art and patented technologies on search engine, automatic organization of webpages, and knowledge-based automatic webpage summarization. For the patented search engine technology, it describes new methods to present search results to the users and through browsers to allow the users to customize and organize webpages. For the patented classification technology, it describes new methods to automatically organize webpages into categories. For the knowledge-based summarization technology, it presents new technics for computers to "read" webpages and then to "write" a summary by creating new sentences to describe the contents of the webpages. These search engine, classification, and summarization technologies build a strong framework for knowledge engineering the Web.

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Zhang, Shuai, Guang Hong, and Bing Xu. "An Improved Semantic Annotation Method." Applied Mechanics and Materials 198-199 (September 2012): 495–99. http://dx.doi.org/10.4028/www.scientific.net/amm.198-199.495.

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Semantic annotation is the fundament for the progress and realization of semantic web, meanwhile, provides formatted description for the knowledge in web pages and its semantic meaning in the field. A method for semantic annotation to webpage was presented under the instruction of domain ontology in this paper. By Edit distance and Wordnet distance and from the two aspects the semantic meaning of the word, the semantic correlation degree was measured, then the mapping relation of webpage and ontology was built. Moreover, after the semantic annotating to the WebPages, the ontology was expanded effectively by the annotation results, to domanialize the ontology. At the end, experimental results show the tagging method bases on the weight coefficient acquired form Edit distance, wordnet distance and extended ontology concept is provided with the best performance and the method is effective and applicable.

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Xiong, Aiping, Robert W. Proctor, Weining Yang, and Ninghui Li. "Embedding Training Within Warnings Improves Skills of Identifying Phishing Webpages." Human Factors: The Journal of the Human Factors and Ergonomics Society 61, no. 4 (December 10, 2018): 577–95. http://dx.doi.org/10.1177/0018720818810942.

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Objective: Evaluate the effectiveness of training embedded within security warnings to identify phishing webpages. Background: More than 20 million malware and phishing warnings are shown to users of Google Safe Browsing every week. Substantial click-through rate is still evident, and a common issue reported is that users lack understanding of the warnings. Nevertheless, each warning provides an opportunity to train users about phishing and how to avoid phishing attacks. Method: To test use of phishing-warning instances as opportunities to train users’ phishing webpage detection skills, we conducted an online experiment contrasting the effectiveness of the current Chrome phishing warning with two training-embedded warning interfaces. The experiment consisted of three phases. In Phase 1, participants made login decisions on 10 webpages with the aid of warning. After a distracting task, participants made legitimacy judgments for 10 different login webpages without warnings in Phase 2. To test the long-term effect of the training, participants were invited back a week later to participate in Phase 3, which was conducted similarly as Phase 2. Results: Participants differentiated legitimate and fraudulent webpages better than chance. Performance was similar for all interfaces in Phase 1 for which the warning aid was present. However, training-embedded interfaces provided better protection than the Chrome phishing warning on both subsequent phases. Conclusion: Embedded training is a complementary strategy to compensate for lack of phishing webpage detection skill when phishing warning is absent. Application: Potential applications include development of training-embedded warnings to enable security training at scale.

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Wan, Hongyan, Wanting Ji, Guoqing Wu, Xiaoyun Jia, Xue Zhan, Mengting Yuan, and Ruili Wang. "A novel webpage layout aesthetic evaluation model for quantifying webpage layout design." Information Sciences 576 (October 2021): 589–608. http://dx.doi.org/10.1016/j.ins.2021.06.071.

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Zheng, Yingying. "Design and Implementation of Webpage Addition Technology in Aerobics Courses." International Journal of Emerging Technologies in Learning (iJET) 11, no. 09 (September 29, 2016): 25. http://dx.doi.org/10.3991/ijet.v11i09.6118.

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The rapid development of modern information technology facilitates the reform and innovation of college teaching. A series of technologies, including webpage addition technology, can meet the requirement of aerobics and other shape-related teaching for animation display. Thus, webpage addition technology is a new viewpoint in the education modernization process. The combination of webpage addition technology and Aerobics courses will provide help for Aerobics teaching. Starting from teaching features and the website learning status of Aerobics courses, this paper carried out an application design for webpage addition design. Then, an Aerobics course served as an experimental course. The control experiment method was applied to explore the application practice of webpage addition technology in the control experiment. Furthermore, this paper conducted contrastive analysis on the teaching effect difference with and without webpage addition technology, and drew some conclusions, in the hope of offering reference for combining webpage addition technology with Aerobics courses.

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Radomski, Ashley D., Alexa Bagnell, Sarah Curtis, Lisa Hartling, and Amanda S. Newton. "Examining the Usage, User Experience, and Perceived Impact of an Internet-Based Cognitive Behavioral Therapy Program for Adolescents With Anxiety: Randomized Controlled Trial." JMIR Mental Health 7, no. 2 (February 7, 2020): e15795. http://dx.doi.org/10.2196/15795.

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Background Internet-based cognitive behavioral therapy (iCBT) increases treatment access for adolescents with anxiety; however, completion rates of iCBT programs are typically low. Understanding adolescents’ experiences with iCBT, what program features and changes in anxiety (minimal clinically important difference [MCID]) are important to them, may help explain and improve iCBT program use and impact. Objective Within a randomized controlled trial comparing a six-session iCBT program for adolescent anxiety, Being Real, Easing Anxiety: Tools Helping Electronically (Breathe), with anxiety-based resource webpages, we aimed to (1) describe intervention use among adolescents allocated to Breathe or webpages and those who completed postintervention assessments (Breathe or webpage respondents); (2) describe and compare user experiences between groups; and (3) calculate an MCID for anxiety and explore relationships between iCBT use, experiences, and treatment response among Breathe respondents. Methods Enrolled adolescents with self-reported anxiety, aged 13 to 19 years, were randomly allocated to Breathe or webpages. Self-reported demographics and anxiety symptoms (Multidimensional Anxiety Scale for Children—2nd edition [MASC-2]) were collected preintervention. Automatically-captured Breathe or webpage use and self-reported symptoms and experiences (User Experience Questionnaire for Internet-based Interventions) were collected postintervention. Breathe respondents also reported their perceived change in anxiety (Global Rating of Change Scale [GRCS]) following program use. Descriptive statistics summarized usage and experience outcomes, and independent samples t tests and correlations examined relationships between them. The MCID was calculated using the mean MASC-2 change score among Breathe respondents reporting somewhat better anxiety on the GRCS. Results Adolescents were mostly female (382/536, 71.3%), aged 16.6 years (SD 1.7), with very elevated anxiety (mean 92.2, SD 18.1). Intervention use was low for adolescents allocated to Breathe (mean 2.2 sessions, SD 2.3; n=258) or webpages (mean 2.1 visits, SD 2.7; n=278), but was higher for Breathe (median 6.0, range 1-6; 81/258) and webpage respondents (median 2.0, range 1-9; 148/278). Total user experience was significantly more positive for Breathe than webpage respondents (P<.001). Breathe respondents reported program design and delivery factors that may have challenged (eg, time constraints and program support) or facilitated (eg, demonstration videos, self-management activities) program use. The MCID was a mean MASC-2 change score of 13.8 (SD 18.1). Using the MCID, a positive treatment response was generated for 43% (35/81) of Breathe respondents. Treatment response was not correlated with respondents’ experiences or use of Breathe (P=.32 to P=.88). Conclusions Respondents reported positive experiences and changes in their anxiety with Breathe; however, their reports were not correlated with program use. Breathe respondents identified program design and delivery factors that help explain their experiences and use of iCBT and inform program improvements. Future studies can apply our measures to compare user experiences between internet-based interventions, interpret treatment outcomes and improve treatment decision making for adolescents with anxiety. Trial Registration ClinicalTrials.gov Identifier: NCT02970734 https://clinicaltrials.gov/ct2/show/NCT02970734

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Yu, Fang. "Application of Computer-Based Distance Education with Dynamic Webpages in Financial Management Courses." International Journal of Emerging Technologies in Learning (iJET) 16, no. 14 (July 28, 2021): 99. http://dx.doi.org/10.3991/ijet.v16i14.24047.

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Financial management is one of most important type of professional courses in the discipline of business management. The information-based teaching of the courses is a hot spot in the research of professional education. As a cutting-edge information technology, webpage technology provides a good information carrier that enables fast sharing, timely access, and opinion exchange of information. The application of information technology to distance education of financial management could promote the learning efficiency of the students. This paper mainly designs a computer-based distance education system with the aid of dynamic webpages. The system encompasses such modules like database, classroom module, and question and answer (Q&A) module. By introducing the operating mechanism of the system, this paper fully integrates the teaching resources and practices of financial management into the dynamic webpage-based system, providing students or trainees a convenient way of online learning. Through the integration of information technology in education, the proposed system promotes the reform of traditional education model, helps to improve teaching quality and learning efficiency, and enhances the students’ ability to analyze and implement financial management.

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Jiang, Zuo, Li Tong, Hong Zhi Liao, Na Zhao, and Zhi Tao Fu. "The Webpage Classification Research of Maximum Entropy Basing on Knowledge Tree." Applied Mechanics and Materials 291-294 (February 2013): 2853–58. http://dx.doi.org/10.4028/www.scientific.net/amm.291-294.2853.

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Webpage classifier is one of the most important technology in search engine. In this paper，the structural features of webpage have been analyzed. basing on the structure of knowledge Tree, Maximum Entropy Model is applied to the webpage classification. Compared with other approaches, the experimental results show our approach achieve to higher recall and precision.

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Campbell, Braden J., Jefferson S. McCutcheon, Francis L. Fluharty, and Anthony J. Parker. "69 Connecting with the next generation of shepherds – an online sheep-based webpage serves as an additional tool in Extension education." Journal of Animal Science 98, Supplement_3 (November 2, 2020): 146–47. http://dx.doi.org/10.1093/jas/skaa054.257.

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Abstract Cooperative Extension education continues to maintain a strong foothold in educating people in the agricultural industry. To connect with the next generation of agriculturalists, Extension needs to investigate alternative methods to disseminate educational material. Developing and maintaining a webpage that provides relevant and scientific based sheep production information is critical as interest in the small ruminant industry continues to rise. The Ohio State University Extension Sheep Team webpage provides shepherds across the nation with the latest information regarding sheep production from daily management to industry outreach. In addition, a unique highlight of the webpage includes research summaries of sheep research conducted at Ohio State that are simplified to illustrate real-world application to improve on-farm production efficiencies. Over the past year alone, the OSU Extension Sheep Team webpage has recorded over 90,000 page views with an average visit duration time of approximately two minutes. Of these page views, approximately 9,000 originate from locations beyond the United States including Canada, United Kingdom, Australia, and New Zealand. According to the web servers’ descriptive statistic analysis, the top referral search engine is Google, representing 58% of all page visits. Interestingly, due the OSU Extension Sheep Team’s presence on social media, Facebook accounts for approximately 18% of all page visits whereas direct subscription of the weekly newsletter only accounts for 15% of all page visits. Furthermore, top article topics include those that relate to basic sheep management practices, health and disease, parasite control methods, and common poisonous plants. Due to the unusual weather patterns of 2019, an article related to poisonous plants accounted for 16% of the webpage’s total visits, which surpassed the number of homepage visits. In order to continue providing relevant Extension information, universities should consider utilizing web-based articles to efficiently reach a larger audience and provide timely articles based upon viewer interest.

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Fan, Jing. "Research and Design of Webpage Adaptive Matching Platform Based on Mobile Phone." Applied Mechanics and Materials 687-691 (November 2014): 2276–79. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.2276.

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Mobile learning with smart phone can offer learners a better platform for communicating and learning. Constructing Webpage automatic matching platform based on existing Web site could converted Webpage into Wap page, and the converted Wap page is pushed to the mobile phone. Web information content is extracted through HttpClient, JTidy, DOM4J and XSLT technology and then is converted to a XML file, realizing Wap page template clustering through tag attribute of Webpage clustering algorithm. The Wap template and the data are displayed on the mobile phone by 3G network, so as to realize the Webpage adaptive matching function.

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Stevenson, Julie S., Gordon C. Bruner, and Anand Kumar. "Webpage Background and Viewer Attitudes." Journal of Advertising Research 40, no. 1-2 (January 2000): 29–34. http://dx.doi.org/10.2501/jar-40-1-2-29-34.

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Rose, J. Dafni, J. Komala, and M. Krithiga. "Efficient Webpage Retrieval Using WEGA." Procedia Computer Science 87 (2016): 281–87. http://dx.doi.org/10.1016/j.procs.2016.05.162.

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Chressanthis, June, Kathryn Wesley, and Beth Holley. "The Technical Services Departmental Webpage." Serials Librarian 40, no. 3-4 (June 20, 2001): 193–98. http://dx.doi.org/10.1300/j123v40n03_01.

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Yadav, Surya B. "Automation of webpage quality determination." International Journal of Information Quality 2, no. 2 (2008): 152. http://dx.doi.org/10.1504/ijiq.2008.022961.

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He, Mingxing, Shi-Jinn Horng, Pingzhi Fan, Muhammad Khurram Khan, Ray-Shine Run, Jui-Lin Lai, Rong-Jian Chen, and Adi Sutanto. "An efficient phishing webpage detector." Expert Systems with Applications 38, no. 10 (September 2011): 12018–27. http://dx.doi.org/10.1016/j.eswa.2011.01.046.

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Gu, Zhenyu, and Jian Lou. "Data driven webpage color design." Computer-Aided Design 77 (August 2016): 46–59. http://dx.doi.org/10.1016/j.cad.2016.03.001.

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Kanaris, Ioannis, and Efstathios Stamatatos. "Learning to recognize webpage genres." Information Processing & Management 45, no. 5 (September 2009): 499–512. http://dx.doi.org/10.1016/j.ipm.2009.05.003.

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Hong, Ying, and Zeng Min Geng. "Research and Realization of a Search Engine System for Professional Field." Advanced Materials Research 850-851 (December 2013): 745–50. http://dx.doi.org/10.4028/www.scientific.net/amr.850-851.745.

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In the light of the deficiency of general search engine technology in professional retrieval,This paper researched and designed a search engine system for professional field (SESPF for short).This system automatically crawls web pages by the spider program.It introduced professional dictionary and filtered the webpages information according to certain rules.At the same time,the system improved the PageRank algorithm and Lucene webpage ranking algorithm.The experimental results show that this system has a higher precision in professional field retrieval compared with the general search engine.

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Gao, Wei Chun, Wei Hai Gao, Wu Xue Jiang, Gui Dong Zhang, and Jun Fan Liu. "Implementation of E-Chat Webpage Chat Room Design Guided by Openness." Advanced Materials Research 926-930 (May 2014): 1943–46. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.1943.

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Openness is the development trend of browser. This paper innovatively combined webpage with instant messaging in allusion to internet users urgent desire of communicating webpage content with other users, and demand of more open webpage. It inserted instant messaging function in browser, which allowed ordinary users to be able to realize functions of adding, looking up, and entering chat rooms for any webpage, made users who were browsing the same URL and websites can communicate by entering the same chat room, so as to provide communicating site for users visiting the same website. This system conformed to the open development trend of internet, meanwhile, expanded the market of internet industry.

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Ivančić Valenko, Snježana, Damira Keček, Marko Čačić, and Katarina Slanec. "The Impact of a Web Banner Position on the Webpage User Experience." Tehnički glasnik 16, no. 1 (February 4, 2022): 93–97. http://dx.doi.org/10.31803/tg-20211119110843.

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Visual perception of a web banner depends on different parameters. Webpage template configuration and web banner position are important parameters that can affect the banner visibility. This paper aims to determine the impact of a web banner position on the banner visibility and webpage user experience. Research was conducted by using an eye tracking technology. Four webpage templates were created for two groups of respondents. Webpage templates were based on a news portal wireframe and six different banners. Each respondent was exposed to the same set of four different web banners on left and right positions, but their placement on the webpage was changed for each group of respondents, while template complexity remained the same. Two other banners placed on the top position remained the same for both groups, since the emphasis is on evaluation of left and right web banner positions. Research results indicate that the web banner on the left position is noticed before the web banner on the right position. Although the web banner on the left position is noticed before, the web banner on the right position is on average viewed for a longer time. The analysis of a different web banner positions provides guidelines for web designers to improve web banner visibility and overall webpage user experience.

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Yang, Yu Jun, and Yi Mei Yang. "A Robust Webpage Information Hiding Method Based on the Slash of Tag." Advanced Engineering Forum 6-7 (September 2012): 361–66. http://dx.doi.org/10.4028/www.scientific.net/aef.6-7.361.

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Nowadays,the information hiding technology is a hot spot in the field of information security, and is applied in many fields,such as digital multimedia copyright protection and secret communication. According to the analysis of the characteristics of browser in parsing HTML of the webpage and the little capacity available for information hided in webpage, a new robust webpage information hiding method with the slash of tag attributes has been proposed in this paper, which overcomes the shortcoming of the ability of imperceptibility and the ability of contradict with the machine filtration of traditional webpage information hiding algorithms and has greater embedded capacity than some other algorithm based on tag attributes. This method has good performances in invisibility and higher applied value as proved by the experiments.

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Zhao, Li, Xiang Ling, and Feng Deng. "Research on Key Technology of Webpage Tampering Prevention." Applied Mechanics and Materials 644-650 (September 2014): 2755–58. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.2755.

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Webpage tampering prevention system is a security protection means of website to prevent from hacker’s unauthorized update to webpage. This paper deeply researches the key technology of webpage tampering prevention system, i.e., poll tampering detection technology, core embedding technology and file filtering drive technology, the algorithm of three prevailing tampering prevention detection technologies is realized on the basis of apache platform, they are integrated together to form an exclusive and perfect new type tampering prevention system.

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Zhang, Jin, and Alexandra Dimitroff. "The impact of webpage content characteristics on webpage visibility in search engine results (Part I)." Information Processing & Management 41, no. 3 (May 2005): 665–90. http://dx.doi.org/10.1016/j.ipm.2003.12.001.

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Zhao, Jiashu, Jimmy Xiangji Huang, Hongbo Deng, Yi Chang, and Long Xia. "Are Topics Interesting or Not? An LDA-based Topic-graph Probabilistic Model for Web Search Personalization." ACM Transactions on Information Systems 40, no. 3 (July 31, 2022): 1–24. http://dx.doi.org/10.1145/3476106.

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In this article, we propose a Latent Dirichlet Allocation– (LDA) based topic-graph probabilistic personalization model for Web search. This model represents a user graph in a latent topic graph and simultaneously estimates the probabilities that the user is interested in the topics, as well as the probabilities that the user is not interested in the topics. For a given query issued by the user, the webpages that have higher relevancy to the interested topics are promoted, and the webpages more relevant to the non-interesting topics are penalized. In particular, we simulate a user’s search intent by building two profiles: A positive user profile for the probabilities of the user is interested in the topics and a corresponding negative user profile for the probabilities of being not interested in the the topics. The profiles are estimated based on the user’s search logs. A clicked webpage is assumed to include interesting topics. A skipped (viewed but not clicked) webpage is assumed to cover some non-interesting topics to the user. Such estimations are performed in the latent topic space generated by LDA. Moreover, a new approach is proposed to estimate the correlation between a given query and the user’s search history so as to determine how much personalization should be considered for the query. We compare our proposed models with several strong baselines including state-of-the-art personalization approaches. Experiments conducted on a large-scale real user search log collection illustrate the effectiveness of the proposed models.

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Journal articles on the topic 'Webpage'

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