We introduce a new theoretical derivation, evaluation methods, and extensive empirical analysis for an automatic query expansion framework in which model estimation is cast as a r...
Search engines are powerful tools to find information on the Web. However, they commonly return a lot of irrelevant documents when the users’ queries are not specific enough. To...
User logs of search engines have recently been applied successfully to improve various aspects of web search quality. In this paper, we will apply pairs of user queries and snippe...
In this paper, we address a novel method of Web query expansion by using WordNet and TSN. WordNet is an online lexical dictionary which describes word relationships in three dimens...
Query expansion is a long-studied approach for improving retrieval effectiveness by enhancing the user's original query with additional related words. Current algorithms for ...