Exploiting clustering and phrases for context-based information retrieval
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
Cumulated gain-based evaluation of IR techniques
ACM Transactions on Information Systems (TOIS)
Page quality: in search of an unbiased web ranking
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
A large-scale evaluation and analysis of personalized search strategies
Proceedings of the 16th international conference on World Wide Web
Top 10 algorithms in data mining
Knowledge and Information Systems
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The pervasiveness of Internet use in daily life has made it possible for people to retrieve a large amount of information through the web. However, the exponential growth in the quantity of information on the web has imposed limits on the performance of online search engines, which retrieve enormous amounts of unwanted information. With so much unwanted information, web users now require more time and effort, than in the past, to search for the required information. In this study, a method that uses query expansion to quickly bring wanted information to web users has been proposed.