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• W2020150327 abstract "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." @default.
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• W2020150327 date "2008-07-20" @default.
• W2020150327 modified "2023-09-24" @default.
• W2020150327 title "Query expansion using gaze-based feedback on the subdocument level" @default.
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• W2020150327 doi "https://doi.org/10.1145/1390334.1390401" @default.
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