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Query expansion using gaze-based feedback on the subdocument level Export

In SIGIR '08: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval (2008), pp. 387-394.

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eye-tracking information-retrieval

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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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