Personalized query expansion for the web

By Paul-Alexandru Chirita, Claudiu Sergiu Firan, Wolfgang Nejdl. Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2007

347 citations recorded by the source corpus.

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A Survey of Automatic Query Expansion in Information Retrieval (2012, methodology): “, web data for intranet searches, or personal desktop data for web searches), as in [Xu and Croft 2000], [Voorhees 2004], [Diaz and Metzler 2006], and [Chirita et al. 2007]), a different IR system will, in general, be necessary; several options are available, such as installing and running a desktop”
Mining Query Logs: Turning Search Usage Data into Knowledge (2010, background): “We have not analyzed, in this work, relevant papers such as [62, 76, 141, 193, 217, 225].”
Query dependent pseudo-relevance feedback based on wikipedia (2009, background): “Several external collection enrichment approaches have been proposed [12, 13, 10, 5].”
Neural information retrieval: at the end of the early years (2017, methodology): “While personalized query expansion is not new (Carmel et al. 2009; Chirita et al. 2007), use of word embeddings for personalization is novel.”
Query Expansion Techniques for Information Retrieval: a Survey (2017, neutral): “Another approach for selecting expansion terms that depends upon the query ambiguity has been proposed in reference [62].”