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User preferences in the web of data

Luis Polo, Iván Mínguez, Diego Berrueta, Carlos Ruiz, José Manuel Gómez
2014 Semantic Web Journal  
The availability of this language and its RDF representation enable the effective exchange of user preferences across different applications in the web environment.  ...  The practical usage and limitations of this approach are also discussed in the article.  ...  Preferences in the Web of Data FRAP is a user-oriented vocabulary to represent preferences in the Web, where users are instances of the User class.  ... 
doi:10.3233/sw-2012-0080 fatcat:vkaycunm65dx7emogl5qct6hs4

Modeling Ontology-Driven Personalization of Web Contents

Marco Brambilla, Christina Tziviskou
2008 2008 Eighth International Conference on Web Engineering  
Personalization of contents accessed on the web can be improved by proper exploitation of user preferences and navigation behavior.  ...  In our proposal, we exploit existing solutions in the field of knowledge representation and web applications conceptual specification, and we provide: (i) a set of ontologies for representing both user  ...  This work was partially supported by the MIUR PRIN project "Basi di dati crittografate" (2006099978). References  ... 
doi:10.1109/icwe.2008.44 dblp:conf/icwe/BrambillaT08 fatcat:odqlumdjijcaldx2vjn7njsqmi

Enhancing User Privacy in Adaptive Web Sites with Client-Side User Profiles

Constantinos Kolias, Vassilis Kolias, Ioannis Anagnostopoulos, Georgios Kambourakis, Eleftherios Kayafas
2008 2008 Third International Workshop on Semantic Media Adaptation and Personalization  
Data that reflects user preferences and likings, comprising therefore a user profile, are gathered to an adaptive web site in a non transparent manner.  ...  This architecture enables users to create and update their personal privacy preferences for the adaptive web sites they visit by holding their (user) profiles in the client side instead of the server side  ...  A premature solution followed by many web sites was to commit to a general privacy policy (which would be publicly accessible in the site), where the purpose of using user data and the type of data itself  ... 
doi:10.1109/smap.2008.32 dblp:conf/smap/KoliasKAKK08a fatcat:5abta45tonehjjsl7nlqggtic4

Mining Users' Preference Similarities in E-commerce Systems Based on Webpage Navigation Logs

Ping Li, Chunxue Wu, Shaozhong Zhang, Xinwu Yu, Haidong Zhong
2017 International Journal of Computers Communications & Control  
In the proposed UPSAWBH, we take two factors into account: 1) the number of shared web page click sequence, and 2) the property of the clicked web page that reflects users' shopping preference in e-commerce  ...  Finally, a new method called UPSAWBH (User Preference Similarity Calculation Algorithm Based on Web Browsing History), which measure the level of users' preference similarity on the basis of their web  ...  of users Figure 6 : 6 Number of interested web page changing over time threshold Table 1 : 1 Statistical information of the web browsing log data 672 P.  ... 
doi:10.15837/ijccc.2017.5.2565 fatcat:rxmunsqelvbk5jxn3gkjnnppeu

Emergent Semantics in Knowledge Sifter: An Evolutionary Search Agent Based on Semantic Web Services [chapter]

Larry Kerschberg, Hanjo Jeong, Wooju Kim
2006 Lecture Notes in Computer Science  
search for knowledge in heterogeneous sources, including the Web, semi-structured data, relational data and the Semantic Web.  ...  These are stored in a repository, and a collection of emergence agents are presented that perform emergence functions such as data mining for patterns, concept discovery, user preferences tracking, collaborative  ...  This work was sponsored by a NURI from the National Geospatial-Intelligence Agency (NGA). The authors with to acknowledge the work on the Knowledge Sifter prototype by M. Chowdhury, A. Damiano, S.  ... 
doi:10.1007/11803034_9 fatcat:ihjzskzvo5fwvfbov4rm325urq

Predicting user preferences

Ion Juvina, Herre van Oostendorp
2004 Proceedings of the conference on Dutch directions in HCI -  
The semantic similarities (calculated with Latent Semantic Analysis) between users' navigation paths and presents' descriptions were used as implicit estimates of users' preferences.  ...  Consequently, we propose this method to be used in building user models for adaptive web applications.  ...  ACKNOWLEDGMENTS We would like to thank Ellert van den Broek, Vincent van der Linden, and Koen Buurman for their invaluable support in data collection.  ... 
doi:10.1145/1005220.1005233 fatcat:r76rzqtsm5fade5qrleutnrqia

Collaborative Privacy – A Community-Based Privacy Infrastructure [chapter]

Jan Kolter, Thomas Kernchen, Günther Pernul
2009 IFIP Advances in Information and Communication Technology  
The landscape of the World Wide Web with all its versatile services heavily relies on the disclosure of private user information.  ...  One goal of these technologies is to enable users to improve the control over their personal data.  ...  Required Amount of Personal Data Our proposed privacy community enables users to know in advance, what personal information is needed to use a certain service in the World Wide Web.  ... 
doi:10.1007/978-3-642-01244-0_20 fatcat:j4qri7wev5grhamvrax3newctu

Personalized ranking for digital libraries based on log analysis

Yang Sun, Huajing Li, Isaac G. Councill, Jian Huang, Wang-Chien Lee, C. Lee Giles
2008 Proceeding of the 10th ACM workshop on Web information and data management - WIDM '08  
Given the exponential increase of indexable context on the Web, ranking is an increasingly difficult problem in information retrieval systems.  ...  Recent research shows that implicit feedback regarding user preferences can be extracted from web access logs in order to increase ranking performance.  ...  As we discussed in the previous section, the user preferences may change over time. the user preference vector can also help in a temporal study of the preference trend of users.  ... 
doi:10.1145/1458502.1458524 dblp:conf/widm/SunLCHLG08 fatcat:ro72fylzh5fzdf6dc3fwjpvoru

Collaborative prediction of web service quality based on user preferences and services

Yang Song, Hua Wang
2020 PLoS ONE  
The prediction of web service quality plays an important role in improving user services; it has been one of the most popular topics in the field of Internet services.  ...  In traditional collaborative filtering methods, differences in the personalization and preferences of different users have been ignored.  ...  Therefore, the individual user's preference in terms of QoS data is fully considered.  ... 
doi:10.1371/journal.pone.0242089 pmid:33284801 fatcat:ct65v6a4svdnflxyckwb4tc46m

Uncertainty Issues and Algorithms in Automating Process Connecting Web and User [chapter]

Alan Eckhardt, Tomáš Horváth, Dušan Maruščák, Róbert Novotný, Peter Vojtáš
2008 Lecture Notes in Computer Science  
We show these uncertainty issues are connected with Web content mining and user preference mining.  ...  We are interested in replacing human processing of web resources by automated processing.  ...  This work was supported in part by Czech projects 1ET 100300517 and 1ET 100300419 and Slovak projects VEGA 1/3129/06 and NAZOU.  ... 
doi:10.1007/978-3-540-89765-1_13 fatcat:houmg2hzpzcwroq4khmyurhj2a

User Agents for Matching Privacy Policies with User Preferences

Karin Bernsmed, Åsmund Ahlmann Nyre, Martin Gilje Jaatun
2012 Journal of clean energy technologies  
This paper surveys user agents that automatically fetch and compare privacy policies with privacy preferences, in order to help the end-user understand the implications of personal data disclosure.  ...  However, the complexity and sheer length of such policies make them incomprehensible to the common web user.  ...  IE will not alert the user if the web site violates the privacy preferences regarding any other personal information, such as user-provided data.  ... 
doi:10.7763/ijcte.2012.v4.506 fatcat:g4qf5qn53zghnke2dkaee23vba

An Approach to Detect Malicious Feedback Rating for Measuring Web Service Reputation

Subhodh Kumar
2016 International Journal of Grid and Distributed Computing  
In the field of service computing, reputation of a Web service is usually calculated using feedback ratings provided by service users.  ...  However, the existing malicious ratings and different preferences of different service users often lead to a bias towards positive or negative ratings.  ...  The trust among two or more users in the web of trust increases the quality of recommendation in two ways.  ... 
doi:10.14257/ijgdc.2016.9.3.13 fatcat:edwwiqejszbt7oyudmvt5alepi

Developed High Scale Bagging Algorithm for E-Tourism Advising System

Rula Amjed Hamid, Muayad Sadik Croock
2022 Al-Salam Journal for Engineering Science and Technology  
Filtering huge amounts of data is a very critical issue with the explosion of data over the web and cloud storage.  ...  sites with percentage to how suitable these sites according to the preferences submitted in addition to some other criteria.  ...  The internet is used as a source of data to store into the database of the connected smart devices or web site through which the users seek help in making the decision.  ... 
doi:10.55145/ajest.2022.01.01.005 fatcat:squr3qunvrgr3c4ndmpdzx6ja4

CMSs, Linked Data and Semantics: A Linked Data Mashup over Drupal for Personalized Search [chapter]

Aikaterini K. Kalou, Dimitrios A. Koutsomitropoulos, Georgia D. Solomou
2013 Communications in Computer and Information Science  
On the other hand, in the world of traditional web-CMSs, issues like front-end intuitiveness, dynamic content rendering and streamlined user management have been already dealt with, elaborated and resolved  ...  Semantic mashups are a representative paradigm of Web applications which highlight the novelties and added-value of Semantic Web technologies, especially Linked Data.  ...  We capture the preferences of each user in this class, such as preferable condition, preferable minimum availability, preferable minimum publication year and preferable maximum price (preference criteria  ... 
doi:10.1007/978-3-319-03437-9_6 fatcat:3hrcwuhxardcvhb75palql2tou

A Review on Web Recommendation System

Animesh Shrivastava, Anand Singh Rajawat
2013 International Journal of Computer Applications  
In Web world, there is immense of information available on the internet but user is not capable to find relevant information in short period of time.  ...  In this work, various recommendation systems reviewed to analyze their problems and solutions. In order to improve the recommendation quality, a new web recommendation system is introduced.  ...  In the second step, the data mining techniques are applied to extract the patterns from the web data. In the third step, the patterns are analyzed to study the behavior of the web user.  ... 
doi:10.5120/14668-2842 fatcat:zweocabzkzdotmjnz7273kh72q
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