Relevant bibliographies by topics / Webpage

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Webpage'

Author: Grafiati
Published: 4 June 2021
Last updated: 27 April 2022

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Journal articles on the topic "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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Dissertations / Theses on the topic "Webpage"

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Lo, Kwok Chu. "Partial mobile webpage adaptation /." View abstract or full-text, 2007. http://library.ust.hk/cgi/db/thesis.pl?CSED%202007%20LO.

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Deng, Liqiong. "Beyond usability -- affect in web browsing." [College Station, Tex. : Texas A&M University, 2006. http://hdl.handle.net/1969.1/ETD-TAMU-1829.

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Park, Sunyoung. "Webpage design optimization using genetic algorithm driven CSS." [Ames, Iowa : Iowa State University], 2007.

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Law, Marc Teva. "Distance metric learning for image and webpage comparison." Thesis, Paris 6, 2015. http://www.theses.fr/2015PA066019/document.

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Cette thèse se focalise sur l'apprentissage de distance pour la comparaison d'images ou de pages Web. Les distances (ou métriques) sont exploitées dans divers contextes de l'apprentissage automatique et de la vision artificielle tels que la recherche des k plus proches voisins, le partitionnement, les machines à vecteurs de support, la recherche d'information/images, la visualisation etc. Nous nous intéressons dans cette thèse à l'apprentissage de fonction de distance paramétrée par une matrice symétrique semi-définie positive. Ce modèle, appelé (par abus) apprentissage de distance de Mahalanobis, consiste à apprendre une transformation linéaire des données telle que la distance euclidienne dans l'espace projeté appris satisfasse les contraintes d'apprentissage.Premièrement, nous proposons une méthode basée sur la comparaison de distances relatives qui prend en compte des relations riches entre les données, et exploite des similarités entre quadruplets d'exemples. Nous appliquons cette méthode aux attributs relatifs et à la classification hiérarchique d'images.Deuxièmement, nous proposons une nouvelle méthode de régularisation qui permet de contrôler le rang de la matrice apprise, limitant ainsi le nombre de paramètres indépendants appris et le sur-apprentissage. Nous montrons l'intérêt de notre méthode sur des bases synthétiques et réelles d'identification de visage.Enfin, nous proposons une nouvelle méthode de détection automatique de changement dans les pages Web, dans un contexte d'archivage. Pour cela, nous utilisons les relations de distance temporelle entre différentes versions d'une même page Web. La métrique apprise de façon entièrement non supervisée détecte les régions d'intérêt de la page et ignore le contenu non informatif tel que les menus et publicités. Nous montrons l'intérêt de la méthode sur différents sites Web
This thesis focuses on distance metric learning for image and webpage comparison. Distance metrics are used in many machine learning and computer vision contexts such as k-nearest neighbors classification, clustering, support vector machine, information/image retrieval, visualization etc. In this thesis, we focus on Mahalanobis-like distance metric learning where the learned model is parametered by a symmetric positive semidefinite matrix. It learns a linear tranformation such that the Euclidean distance in the induced projected space satisfies learning constraints.First, we propose a method based on comparison between relative distances that takes rich relations between data into account, and exploits similarities between quadruplets of examples. We apply this method on relative attributes and hierarchical image classification. Second, we propose a new regularization method that controls the rank of the learned matrix, limiting the number of independent parameters and overfitting. We show the interest of our method on synthetic and real-world recognition datasets. Eventually, we propose a novel Webpage change detection framework in a context of archiving. For this purpose, we use temporal distance relations between different versions of a same Webpage. The metric learned in a totally unsupervised way detects important regions and ignores unimportant content such as menus and advertisements. We show the interest of our method on different Websites
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Van, Trien Do. "Supporting webpage revisiting with history data and visualization." Thesis, University of Leeds, 2013. http://etheses.whiterose.ac.uk/4883/.

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This research addresses the general topic of “keeping found things found” by investigating difficulties people encounter when revisiting webpages. The overall aim of the research is to design, develop and evaluate a web history tool that addresses these difficulties. An empirical study has been conducted. Participants recorded their web navigation for three months using a Firefox add-on. Each participant then took part in a controlled laboratory experiment, to revisit webpages they had visited neither frequently (on only one day) nor recently (1 week or 1 month ago). Ten underlying causes of failure were discovered. Overall, 61% of the failures occurred when the target page: 1) had originally been accessed via search results; 2) was on a topic a participant often looked at; or 3) was on a known but large website. Based on the findings of the empirical study, a new visualization history tool which supports people in revisiting webpages has been designed and developed as an add-on for Firefox. The tool has two main novel aspects. Firstly, by providing different navigation techniques, it enables users to revisit webpages within their long-term web history. Secondly, the visualization presentation is created based on the user’s navigational paths (even crossing different tabs) rather than the chronology which webpages were visited. Evidence about the benefits of the visualization history tool has been provided through a three month field study. The results showed that such a history tool solved the identified causes of failure and helped participants succeed on 96% of revisiting occasions. They particularly used the tool to revisit webpages which had been visited neither frequently and nor recently. Participants often took only 3 steps to revisit a webpage. Overall, they were satisfied with the tool and rated it 4.1/5.0, and 84% of them wanted to keep using the tool after the evaluation.
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Lund, Karen L. "Utilizing a comprehensive webpage to improve science classroom performance." Montana State University, 2011. http://etd.lib.montana.edu/etd/2011/lund/LundK0811.pdf.

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The purpose of this study was to improve student classroom performance through the use of a detailed chemistry webpage. Students utilized a monthly assignment calendar with links to all classroom materials. Links to additional chemistry resources for review and reinforcement were also available to assist both present as well as absent students in their learning. Results indicate that the treatment increased assessment scores and improved student learning behaviors.
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Keppel, David P. "Adverse advertising : the impact advertisements have on webpage content retention /." Online version of thesis, 2009. http://hdl.handle.net/1850/10850.

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Fang, Yu-Lin. "Taiwanese-American computer professionals as facilitators of their children's webpage creation /." The Ohio State University, 2000. http://rave.ohiolink.edu/etdc/view?acc_num=osu1488193665235094.

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RYDMARK, MIKAEL. "Faster Loading of Websites : Strategies for optimizing loading of webpage components." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-156250.

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When loading a webpage on the Internet it is desirable that it loads as quickly as possible. This master thesis presents several strategies to try and improve the response time of a webpage by optimizing the loading of its component. The tests conducted in this master thesis showedthat using compression will significantly improve the response time of a webpage and using caching for static components will greatly improve the response time for repeated visits of a webpage.
När en webbsida laddas på Internet är det önskvärt att det går så fortsom möjligt att ladda sidan. Den här rapporten redovisar flera strategierför att försöka förbättra laddningstiden för en webbsida genom att optimeraladdningen av en webbsidas komponenter. Testen som genomförtsoch redovisas i rapporten visade att man kan minska laddningstidenför en webbsida signifikant genom att tillämpa komprimering. Testenvisade också att man genom att cacha statiska komponenter kan sparamycket tid för återkommande besök av webbsidan.
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Somers, Marc Steven. "Impact of Webpage Access on the Design of Single-Chip Heterogeneous Multiprocessors." Thesis, Virginia Tech, 2007. http://hdl.handle.net/10919/32107.

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Mobile devices are currently designed similar to embedded systems where performance is derived from a specification that allows the device to interact in a periodic manner with the environment. However, as mobile devices increasingly interact with the Internet they exhibit a different style of computing that does not fit the embedded system model. At the same time, a mobile device designer needs to consider many different issues such as the number and types of processors, scheduling strategies, applications, power consumption, and dimensions of the device, which increase the total number of design decisions at an alarming rate. This research shows that by using a more realistic model of mobile devices using webpage-based benchmarks, customization can allow specialized architectures to improve performance up to 70 percent over a homogeneous multiprocessor composed of general purpose processors and 25 percent additional improvement over the next best architecture when individual user preferences were also considered. Webpage access, to include user profiling for individual utilization, is clearly a significant factor in the design of mobile devices â and thus should be included in future benchmarks based upon webpage content and webpage access patterns. When new evaluation techniques are developed, new design strategies can be discovered and employed.
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Books on the topic "Webpage"

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1970-, Wang Jianmin, ed. Wang ye mei shu she ji: Webpage Design. Shi jia zhuang: He bei mei shu chu ban she, 2001.

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Fan, Kuan Liang. developing an interactive webpage with ASP or CGI & Organiser (online organiser). Oxford: Oxford Brookes University, 2001.

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Bouzid, Mohamed. Webpack for Beginners. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-5896-5.

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Zielgruppenbindung mit Online-Kommunikation: Analyse und Evaluation am Beispiel von Museums-Webpages. München: Reinhard Fischer, 2006.

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Zotov, Valerij Ûr'evič. Proektirovanie cifrovyh ustrojstv na osnove plis firmy XILINX v SAPR WebPACK ISE. Moskva: Gorâčaâ liniâ - Telekom, 2003.

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BDG. Mastering WebPage 2nd Edition. BDG Publishing Inc., 1998.

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Klages, Mary. Webpage: Www.coloredo.edu/englih/ENGL2012Klages/marxism.html. 2001.

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WebPage Fundamentals with FrontPage 2000. Prentice Hall, 2000.

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WebPage Fundamentals with FrontPage '98. Prentice Hall, 1998.

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Graduate School FCU: Official webpage. Philippines: Kriistopher, 2011.

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Book chapters on the topic "Webpage"

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Shen, Chengyao, and Qi Zhao. "Webpage Saliency." In Computer Vision – ECCV 2014, 33–46. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10584-0_3.

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Elbers, Willem, and Theo van der Weide. "Optimizing WebPage Interest." In Lecture Notes in Computer Science, 330–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04417-5_33.

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Plaut, Ethan. "Vandalize a Webpage." In The Routledge Handbook of Remix Studies and Digital Humanities, 342–53. New York : Routledge, 2021.: Routledge, 2021. http://dx.doi.org/10.4324/9780429355875-23.

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Krishna, Kushagra, Jaytrilok Choudhary, and Dhirendra Pratap Singh. "Malicious Webpage Classification." In Advances in Intelligent Systems and Computing, 389–99. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-76736-5_36.

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Zheng, Quanlong, Jianbo Jiao, Ying Cao, and Rynson W. H. Lau. "Task-Driven Webpage Saliency." In Computer Vision – ECCV 2018, 300–316. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01264-9_18.

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Deng, Qiong, Huajun Huang, Liangmin Pan, Shuang Pang, and Jiaohua Qin. "A Phishing Webpage Detecting Algorithm Using Webpage Noise and N-Gram." In Cloud Computing and Security, 156–65. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-48671-0_15.

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Espinosa-Leal, Leonardo, Anton Akusok, Amaury Lendasse, and Kaj-Mikael Björk. "Website Classification from Webpage Renders." In Proceedings of ELM2019, 41–50. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58989-9_5.

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Zhang, Shaobo, Jun Zhou, and Jun Sun. "3D Webpage Rendering by Canvas." In Communications in Computer and Information Science, 411–17. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34595-1_56.

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Mejia-Escobar, Christian, Miguel Cazorla, and Ester Martinez-Martin. "Webpage Categorization Using Deep Learning." In 16th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021), 358–68. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-87869-6_34.

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Sa, Ning, and Xiaojun Yuan. "User Assessment of Webpage Usefulness." In Lecture Notes in Computer Science, 442–57. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78468-3_30.

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Conference papers on the topic "Webpage"

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Zhu, Jun, Bo Zhang, Zaiqing Nie, Ji-Rong Wen, and Hsiao-Wuen Hon. "Webpage understanding." In the 13th ACM SIGKDD international conference. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1281192.1281288.

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Miniukovich, Aliaksei, and Antonella De Angeli. "Webpage Aesthetics." In NordiCHI '16: 9th Nordic Conference on Human-Computer Interaction. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2971485.2971544.

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Dong-Liang Lee, Sheng-Yuan Yang, and Chun-Liang Hsu. "Ontology-Supported Webpage Classifier for Scholar’s Webpages in Ubiquitous Information Environment." In 2008 First IEEE International Conference on Ubi-media Computing (U-Media 2008). IEEE, 2008. http://dx.doi.org/10.1109/umedia.2008.4570947.

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Tate, Ryan, Gregory Conti, and Edward Sobiesk. "Automated webpage evaluation." In the 2nd annual conference. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2512209.2512220.

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Dai, Yimeng, Rui Zhang, and Jianzhong Qi. "Automatic Webpage Briefing." In 2021 IEEE 37th International Conference on Data Engineering (ICDE). IEEE, 2021. http://dx.doi.org/10.1109/icde51399.2021.00152.

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Peveler, Matthew, Jeffrey O. Kephart, and Hui Su. "Reagent: Converting Ordinary Webpages into Interactive Software Agents." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/956.

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Abstract:
We introduce Reagent, a technology that can be used in conjunction with automated speech recognition to allow users to query and manipulate ordinary webpages via speech and pointing. Reagent can be used out-of-the-box with third-party websites, as it requires neither special instrumentation from website developers nor special domain knowledge to capture semantically-meaningful mouse interactions with structured elements such as tables and plots. When it is unable to infer mappings between domain vocabulary and visible webpage content on its own, Reagent proactively seeks help by engaging in a voice-based interaction with the user.
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Chee Sheen Chan, Adel Johar, Jer Lang Hong, and Wei Wei Goh. "Ontological based webpage segmentation." In 2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). IEEE, 2013. http://dx.doi.org/10.1109/fskd.2013.6816319.

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Yadollahi, Mohammad Mehdi, and Masoud Asadpour. "AWS: Automatic webpage segmentation." In 2016 Second International Conference on Web Research (ICWR). IEEE, 2016. http://dx.doi.org/10.1109/icwr.2016.7498442.

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Wang, Chong, Achir Kalra, Cristian Borcea, and Yi Chen. "Revenue-Optimized Webpage Recommendation." In 2015 IEEE International Conference on Data Mining Workshop (ICDMW). IEEE, 2015. http://dx.doi.org/10.1109/icdmw.2015.215.

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Cui, Heng, and Ernst Biersack. "Troubleshooting slow webpage downloads." In IEEE INFOCOM 2013 - IEEE Conference on Computer Communications. IEEE, 2013. http://dx.doi.org/10.1109/infcom.2013.6567152.

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Reports on the topic "Webpage"

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Lee, Hye Young. LASNCE webpage document. Office of Scientific and Technical Information (OSTI), July 2019. http://dx.doi.org/10.2172/1544652.

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Mu, Ruihui, and Xiaoqin Zeng. Improved Webpage Classification Technology Based on Feedforward Backpropagation Neural Network. "Prof. Marin Drinov" Publishing House of Bulgarian Academy of Sciences, September 2018. http://dx.doi.org/10.7546/crabs.2018.09.11.

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Maddux, Gary A. MRDEC Webpage Operation and Maintenance Services for the Purpose of Data Distribution of Missile Technology and Analyses. Fort Belvoir, VA: Defense Technical Information Center, August 1999. http://dx.doi.org/10.21236/ada368505.

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