2013 · 28 citations · 12 references
ComputingComputer ScienceInformation TechnologyInformation RetrievalNatural Language ProcessingRecommender SystemsQuery OptimizationQuery ProcessingRetrieval ModelsSearch SystemsSemantic SearchWeb SearchQuery RecommendationSimilarity-based Querying
One important challenge of current search engines is to satisfy the users' needs when they provide a poorly formulated query. When the pages matching the user's original keywords are judged to be unsatisfactory, query recommendation techniques are used to propose alternative queries and alter the result set. These techniques search for queries that are semantically similar to the user's original query, often searching for keywords that are similar to the keywords given by the user. However, when the original query is sufficiently ill-posed, the user's informational need is best met using entirely different keywords, and a substantially different query may be necessary.
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On the resemblance and containment of documents
Arndt Bröder · 2002 · 1.7K citations
Analysis of a very large web search engine query log
Craig Silverstein, Hannes Marais, Monika Henzinger et al. · ACM SIGIR Forum · 1999 · 1.2K citations
Clustering user queries of a search engine
Ji-Rong Wen, Jian‐Yun Nie · 2001 · 411 citations
Extracting semantic relations from query logs
Ricardo Baeza‐Yates, Alessandro Tiberi · 2007 · 317 citations