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Characterizing, predicting, and handling web search queries that match very few or no results
2017
Journal of the Association for Information Science and Technology
A non-negligible fraction of user queries end up with very few or even no matching results in leading commercial web search engines. In this work, we provide a detailed characterization of such queries and show that search engines try to improve such queries by showing the results of related queries. Through a user study, we show that these query suggestions are usually perceived as relevant. Also, through a query log analysis, we show that the users are dissatisfied after submitting a query
doi:10.1002/asi.23955
fatcat:huvsy32ijfaoflhc66jvffe7ny