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Journal articles on the topic 'Webpage'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

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 do

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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 fil

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Yi, WANG, and DENG Jiamin. "A Technical Communication Approach to Website Technical Translation of Chongqing Manufacturing Enterprises: A Case Study of About Us." Asia-Pacific Journal of Humanities and Social Sciences 2, no. 3 (2022): 130–43. http://dx.doi.org/10.53789/j.1653-0465.2022.0203.016.p.

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In the era of globalization and internetization, a growing number of manufacturing enterprises in Chongqing plan to “go global”. The enterprise webpage, the online portal of the enterprise, plays an important role. At present, domestic translators’ understanding of webpage translation is still limited to text translation due to the influence of traditional translation ideas, resulting in poor readability and usability of English webpages of Chongqing manufacturing enterprises. Therefore, this paper compares the English webpages of local manufacturing enterprises in Chongqing with those of well

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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

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Belfedhal, Alaa Eddine. "Multi-Modal Deep Learning for Effective Malicious Webpage Detection." Revue d'Intelligence Artificielle 37, no. 4 (2023): 1005–13. http://dx.doi.org/10.18280/ria.370422.

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The pervasive threat of malicious webpages, which can lead to financial loss, data breaches, and malware infections, underscores the need for effective detection methods. Conventional techniques for detecting malicious web content primarily rely on URL-based features or features extracted from various webpage components, employing a single feature vector input into a machine learning model for classifying webpages as benign or malicious. However, these approaches insufficiently address the complexities inherent in malicious webpages. To overcome this limitation, a novel Multi-Modal Deep Learni

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Xu, Shanshan. "The Study of Interpersonal Function of Yellow River Culture Tourism Webpage from the Perspective of the Appraisal Theory." Higher Education and Practice 2, no. 1 (2025): 67–73. https://doi.org/10.62381/h251111.

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With the development of multimedia technology, people’s channels for obtaining tourism information have undergone tremendous changes, and the tourism webpage has become an important window for them to understand Yellow River culture, and it is also the fastest and most convenient information carrier for communication with tourism product sellers. Taking the interpersonal function construction as the perspective, the evaluation theory as the framework, the Yellow River cultural tourism webpage and the foreign cultural tourism webpage as the research object, this paper builds its own corpus, and

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Wang, Yilin, Siqing Xue, and Jun Song. "A Malicious Webpage Detection Method Based on Graph Convolutional Network." Mathematics 10, no. 19 (2022): 3496. http://dx.doi.org/10.3390/math10193496.

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In recent years, with the rapid development of the Internet and information technology, video websites, shopping websites, and other portals have grown rapidly. However, malicious webpages can disguise themselves as benign websites and steal users’ private information, which seriously threatens network security. Current detection methods for malicious webpages do not fully utilize the syntactic and semantic information in the web source code. In this paper, we propose a GCN-based malicious webpage detection method (GMWD), which constructs a text graph to describe and then a GCN model to learn

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Yuk, Simun, and Youngho Cho. "A Time-Based Dynamic Operation Model for Webpage Steganography Methods." Electronics 9, no. 12 (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 web

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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 a

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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 (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. In

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Sharra, Mae B. Fernandez, Gertrude B. Alpasan Bella, Jane V. Esimos Mary, Karyl P. Maligang Audrey, Mae S. Pagayonan Sheila, and Rose A. Zaragosa April. "A Comparative Study on Webpage Browsing Performance between Proprietary and Open Source Operating Systems on Wireless Networks." INTERNATIONAL JOURNAL OF MULTIDISCIPLINARY RESEARCH AND ANALYSIS 05, no. 01 (2022): 53–62. https://doi.org/10.47191/ijmra/v5-i1-07.

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This experimental research study determined and compared the webpage browsing performance of proprietary and open source operating systems on wireless networks. It was intended to reveal the significant differences in the webpage browsing performance between proprietary and open source operating systems on wireless networks when classified as to hardware specifications and type’s web content. The researchers used the JavaScript Console of the Google Chrome web browser application to determine the time of the webpage to fully load. Operating system was the independent variable. Hardware s

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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 (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 aes

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Cai, Zengyu, Chunchen Tan, Jianwei Zhang, Tengteng Xiao, and Yuan Feng. "An Unhealthy Webpage Discovery System Based on Convolutional Neural Network." International Journal of Digital Crime and Forensics 14, no. 3 (2022): 1–15. http://dx.doi.org/10.4018/ijdcf.315614.

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Currently, with the popularity of the internet, people are surrounded by a large number of unhealthy pages which have a serious impact on the physical and mental health of visitors. To protect the legitimate rights and interests of internet users from infringement and maintain the harmonious and stable development of society, a new unhealthy webpage discovery system is needed. First, this paper proposed the knowledge of unhealthy webpages and web crawlers, and then the whole system's plan and design were introduced. The test results show that the unhealthy webpage discovery system can meet the

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Lybrand, Evan, Mary Micciche, Burton Tienken, et al. "1426. Increased Visits to Respiratory Protection Webpages during COVID-19." Open Forum Infectious Diseases 7, Supplement_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

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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 (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 samp

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Rozi, Muhammad Fakhrur, Seiichi Ozawa, Tao Ban, Sangwook Kim, Takeshi Takahashi, and Daisuke Inoue. "Understanding the Influence of AST-JS for Improving Malicious Webpage Detection." Applied Sciences 12, no. 24 (2022): 12916. http://dx.doi.org/10.3390/app122412916.

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JavaScript-based attacks injected into a webpage to perpetrate malicious activities are still the main problem in web security. Recent works have leveraged advances in artificial intelligence by considering many feature representations to improve the performance of malicious webpage detection. However, they did not focus on extracting the intention of JavaScript content, which is crucial for detecting the maliciousness of a webpage. In this study, we introduce an additional feature extraction process that can capture the intention of the JavaScript content of the webpage. In particular, we dev

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Christoper, Yoyogi. "Pengaruh Laman Resmi Kementerian Terhadap Reputasi." Brand Communication 3, no. 2 (2024): 125–37. https://doi.org/10.70704/bc.v3i2.279.

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The Ministry of Industry (Kemenperin) is a governmental institution responsible for developing industries in Indonesia. One of the programs initiated by Kemenperin is the National Industrial Information System (SIINAS), aimed at providing industry-related information to the public. This study aims to analyze the influence of the SIINAS Ministry of Industry webpage on reputation through a regression study of the SIINAS program, using a data collection technique involving questionnaires. The research method employed is quantitative, distributing online questionnaires to respondents who have used

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Hu, Jiankun. "M. Shen, Y. Liu, L. Zhu, X. Du and J. Hu, "Fine-Grained Webpage Fingerprinting Using Only Packet Length Information of Encrypted Traffic," in IEEE Transactions on Information Forensics and Security, vol. 16, pp. 2046-2059, 2021, doi: 10.1109/TIFS.2020.3046876." IEEE Transactions on Information Forensics and Security 16 (April 12, 2024): pp. 2046–2059, 2021. https://doi.org/10.5281/zenodo.10963553.

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Abstract: Encrypted web traffic can reveal sensitive information of users, such as their browsing behaviors. Existing studies on encrypted traffic analysis focus on website fingerprinting. We claim that fine-grained webpage fingerprinting, which speculates specific webpages on a same website visited by a victim, allows exploiting more user private information, e.g., shopping interests in an online shopping mall. Since webpages from the same website usually have very similar traffic traces that make them indistinguishable, existing solutions may end up with low accuracy. In this paper, we propo

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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 (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-ba

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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 (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

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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 (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 perf

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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

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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 (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

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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 (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 forw

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Manugunta, Ramya Krishna, Rytis Maskeliūnas, and Robertas Damaševičius. "Deep Learning Based Semantic Image Segmentation Methods for Classification of Web Page Imagery." Future Internet 14, no. 10 (2022): 277. http://dx.doi.org/10.3390/fi14100277.

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Semantic segmentation is the task of clustering together parts of an image that belong to the same object class. Semantic segmentation of webpages is important for inferring contextual information from the webpage. This study examines and compares deep learning methods for classifying webpages based on imagery that is obscured by semantic segmentation. Fully convolutional neural network architectures (UNet and FCN-8) with defined hyperparameters and loss functions are used to demonstrate how they can support an efficient method of this type of classification scenario in custom-prepared webpage

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Nie, Zaiqing, Ji-Rong Wen, and Wei-Ying Ma. "Webpage understanding." ACM SIGMOD Record 37, no. 4 (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 (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 c

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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 (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 alg

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Lu, Ronghua. "Construction of Unhealthy Webpage Filtering Mode Based on Data Mining Technology." Academic Journal of Science and Technology 3, no. 3 (2022): 211–14. http://dx.doi.org/10.54097/ajst.v3i3.2984.

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The unhealthy category eigenvector library is constructed by adaptive sample library, and the unhealthy category model is constructed on this basis to realize the filtering of unhealthy webpages. Our expermient proves that this mode can filter unhealthy webpage at higher speed and satisfying precision.

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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 (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 w

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Rijal, Yusron, and Awalia Nofitasari. "Filter Halaman Web Pornografi Menggunakan Kecocokan Kata dan Deteksi Warna Kulit." CAUCHY 1, no. 4 (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 foun

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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 (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 (

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Yu, Chii-Zen, and Fong-Gong Wu. "Influences of viewing angle, product position, and consumers’ physical characteristics on their Kansei images." PLOS ONE 17, no. 10 (2022): e0276421. http://dx.doi.org/10.1371/journal.pone.0276421.

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Changes in consumer behavior in recent years have led to a steady increase in the number of online shoppers. The viewing angle of a product and its position on a webpage can affect consumers’ Kansei images and purchase intentions. This study aimed to determine the influences of product viewing angle and position on a webpage on consumers’ Kansei images; the influences of consumers’ physical characteristics (i.e., sex, dominant hand, and dominant eye) on their Kansei images were also explored. An experiment was designed to evaluate the influences of viewing angle and position on consumers’ Kans

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Nikhila, T. Bhuvan, and Sudheep Elayidom M. "A Multimodal Learning to Rank model for Web Pages." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 6 (2020): 308–13. https://doi.org/10.35940/ijeat.F1442.089620.

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“Learning-to-rank” or LTR utilizes machine learning technologies to optimally combine many features to solve the problem of ranking. Web search is one of the prominent applications of LTR. To improve the ranking of webpages, multimodality based Learning to Rank model is proposed and implemented. Multimodality is the fusion or the process of integrating multiple unimodal representations into one compact representation. The main problem with the web search is that the links that appear on the top of the search list may be either irrelevant or less relevant to the user than the one ap

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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 (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 pe

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Elahi, Ehsan, Jorge Morato, and Ana Iglesias. "Improving Web Readability Using Video Content: A Relevance-Based Approach." Applied Sciences 14, no. 23 (2024): 11055. http://dx.doi.org/10.3390/app142311055.

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With the increasing integration of multimedia elements into webpages, videos have emerged as a popular medium for enhancing user engagement and knowledge retention. However, irrelevant or poorly placed videos can hinder readability and distract users from the core content of a webpage. This paper proposes a novel approach leveraging natural language processing (NLP) techniques to assess the relevance of video content on educational websites, thereby enhancing readability and user engagement. By using a cosine similarity-based relevance scoring method, we measured the alignment between video tr

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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 (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 (2019): 7–12. http://dx.doi.org/10.14445/22315381/ijett-v67i5p202.

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Gayathri Devi, Mrs. "Result Analysis Webpage." International Scientific Journal of Engineering and Management 04, no. 05 (2025): 1–9. https://doi.org/10.55041/isjem03599.

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Abstract - The semester result analysis project is designed to analyze and interpret student performance data over a given academic term this provides the structured approach to evaluate semester examination results, identifying trends, success rate, subject wise performance, and individual student progress. By automating the collection and analysis of the results, the project enables institutions to pinpoint areas of academic excellence as well as subjects or courses needed improvement. This provides the comprehensive platform for semester result analysis with the goal of enhancing institutio

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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

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Koo Kwong Ze, Fares Hasan, Rozilawati Razali, Abudhahir Buhari, and Elisha Tadiwa. "An Enhanced PageRank Algorithm based on Optimized Normalized Technique and Content-based Approach." Open Journal of Science and Technology 3, no. 2 (2020): 78–86. http://dx.doi.org/10.31580/ojst.v3i2.1468.

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PageRank is an algorithm concerning search queries over the Internet. The algorithm returns the best search results to the user based on the webpage relevancy by calculating the outgoing links from each webpage. Although useful, the algorithm consumes a considerable amount of time as it needs to calculate the available webpages, which are also increasing in number over time. Moreover, the returned results by the algorithm are biased towards old webpages because they have the volume due to their lifetime, thus resulting in newly created webpages to have lower page ranks even though they have co

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Choi, Ben. "Knowledge Engineering the Web." International Journal of Machine Learning and Computing 11, no. 1 (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 present

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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

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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 (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 con

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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 (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 des

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Yang, Xue, Jian Xu, and Guojun Li. "Efficient Fingerprinting Attack on Web Applications: An Adaptive Symbolization Approach." Electronics 12, no. 13 (2023): 2948. http://dx.doi.org/10.3390/electronics12132948.

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Website fingerprinting is valuable for many security solutions as it provides insights into applications that are active on the network. Unfortunately, the existing techniques primarily focus on fingerprinting individual webpages instead of webpage transitions. However, it is a common scenario for users to follow hyperlinks to carry out their actions. In this paper, an adaptive symbolization method based on packet distribution information is proposed to represent network traffic. The Profile Hidden Markov Model (PHMM exploits positional information contained in network traffic sequences and is

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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 (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

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Wan, Hongyan, Wanting Ji, Guoqing Wu, et al. "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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Levine, Emma C., James E. Fanning, Shayan McGee, Lauren Okamoto, Samantha Steinmetz-Wood, and Matthew Philip Gilbert. "LBODP043 Analysis Of Plastic Surgery Websites And Their Recommendations For Diabetics." Journal of the Endocrine Society 6, Supplement_1 (2022): A269. http://dx.doi.org/10.1210/jendso/bvac150.553.

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Abstract Diabetic patients are predisposed to adverse complications after surgery, especially when their A1c is above 8. 0% (1). Despite the heightened risk for post-operative complications such as wound dehiscence and infection (2), no formal recommendations by the American Council of Academic Plastic Surgeons (ACAPS) exist regarding preoperative A1c thresholds. This study reviews the current online recommendations for diabetic patients undergoing plastic surgery and examines the readability and technical metrics presented on these webpages. We hypothesized that these webpages would enforce s

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