The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Adaptive on-line page importance computation
WWW '03 Proceedings of the 12th international conference on World Wide Web
Review on Computational Trust and Reputation Models
Artificial Intelligence Review
IEEE Transactions on Knowledge and Data Engineering
Inferring binary trust relationships in Web-based social networks
ACM Transactions on Internet Technology (TOIT)
Beyond accuracy: what data quality means to data consumers
Journal of Management Information Systems
A framework for information quality assessment
Journal of the American Society for Information Science and Technology
A Unified Framework for Opinion Retrieval
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Information Sciences: an International Journal
Exploiting User Feedback to Improve Semantic Web Service Discovery
ISWC '09 Proceedings of the 8th International Semantic Web Conference
Hi-index | 0.00 |
Despite the help of search engines and Web directories, identifying high quality content becomes increasingly difficult as the Internet gets ever more crowded with information. Prior approaches for filtering and searching content with respect to user-specific preferences do exist: Recommendation engines employ collaborative filtering to support subjective selection, (semi-)automatic page ranking algorithms utilize the hypertext link structure of the World Wide Web to assess page importance, and trust-based systems employ social network analysis to determine the most suitable Web pages. The use of implicit and explicit user feedback, however, is often either ignored or its exploitation is limited to isolated Web sites. We thus propose a quality overlay framework that enables the collection and processing of user-feedback, and the subsequent presentation of quality-enabled content for any Web-site. We present the quality overlay framework, propose an architecture for its realization, and validate our approach by scenarios and a detailed design with sample implementation.