On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
Improved algorithms for topic distillation in a hyperlinked environment
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
Rank aggregation methods for the Web
Proceedings of the 10th international conference on World Wide Web
Text Information Retrieval Systems
Text Information Retrieval Systems
Information Retrieval
Hyperlink Analysis for the Web
IEEE Internet Computing
Stochastic simulations of web search engines: RBF versus second-order regression models
Information Sciences—Informatics and Computer Science: An International Journal
A subjective measure of web search quality
Information Sciences—Informatics and Computer Science: An International Journal
User feedback based enhancement in web search quality
Information Sciences—Informatics and Computer Science: An International Journal
Incremental and interactive mining of web traversal patterns
Information Sciences: an International Journal
An ontology-based approach to learnable focused crawling
Information Sciences: an International Journal
A semi-supervised incremental algorithm to automatically formulate topical queries
Information Sciences: an International Journal
Combining information from multiple search engines-Preliminary comparison
Information Sciences: an International Journal
Recommendation of similar users, resources and social networks in a Social Internetworking Scenario
Information Sciences: an International Journal
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Search engines are among the most popular as well as useful services on the web. There is a need, however, to cater to the preferences of the users when supplying the search results to them. We propose to maintain the search profile of each user, on the basis of which the search results would be determined. This requires the integration of techniques for measuring search quality, learning from the user feedback and biased rank aggregation, etc. For the purpose of measuring web search quality, the ''user satisfaction'' is gauged by the sequence in which he picks up the results, the time he spends at those documents and whether or not he prints, saves, bookmarks, e-mails to someone or copies-and-pastes a portion of that document. For rank aggregation, we adopt and evaluate the classical fuzzy rank ordering techniques for web applications, and also propose a few novel techniques that outshine the existing techniques. A ''user satisfaction'' guided web search procedure is also put forward. Learning from the user feedback proceeds in such a way that there is an improvement in the ranking of the documents that are consistently preferred by the users. As an integration of our work, we propose a personalized web search system.