2008 · 88 citations · 26 references
ComputingComputer ScienceInformation RetrievalNatural Language ProcessingVisual AttentionPersonalized SearchQuery ExpansionRetrieval ModelsSearch SystemsVisual SearchWeb SearchAdaptive RetrievalAttention Modeling In SearchFeedback-based RankingImplicit FeedbackInformation Search ProcessInteractive Retrieval SystemsInteractive Search SystemsUser-centered Query Expansion
We examine the effect of incorporating gaze-based attention feedback from the user on personalizing the search process. Employing eye tracking data, we keep track of document parts the user read in some way. We use this information on the subdocument level as implicit feedback for query expansion and reranking.
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Accurately interpreting clickthrough data as implicit feedback
Thorsten Joachims, Laura Granka, Bing Pan et al. · 2005 · 1.4K citations