Query type classification for web document retrieval
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Mining anchor text for query refinement
Proceedings of the 13th international conference on World Wide Web
Automatic identification of user goals in Web search
WWW '05 Proceedings of the 14th international conference on World Wide Web
Generating query substitutions
Proceedings of the 15th international conference on World Wide Web
Investigating the querying and browsing behavior of advanced search engine users
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Term feedback for information retrieval with language models
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Searching coordinate terms with their context from the web
WISE'06 Proceedings of the 7th international conference on Web Information Systems
Detecting Intent of Web Queries Using Questions and Answers in CQA Corpus
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
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This paper proposes a method to allow users to search for Web pages according to their search intentions. We introduce a degree of "unconfidence" for each term in a Web search query. We first investigate the relationships among query terms by accessing a Web search engine. Next, according to a degree of users' unconfidences for each query term and the relationships among query terms, our system finds alternative terms by accessing to a Web search engine. Then, our system generates a collection of new queries that are different from the original query and merges the Web search results obtained for each new query. We implemented our system and showed the usefulness of our system based on user evaluation.