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- W1858845474 abstract "We propose a personalized re-ranking algorithm through mining user dwell times derived from a user's previously online reading or browsing activities. We acquire document level user dwell times via a customized web browser, from which we then infer conceptword level user dwell times in order to understand a user's personal interest. According to the estimated concept word level user dwell times, our algorithm can estimate a user's potential dwell time over a new document, based on which personalized webpage re-ranking can be carried out. We compare the rankings produced by our algorithm with rankings generated by popular commercial search engines and a recently proposed personalized ranking algorithm. The results clearly show the superiority of our method." @default.
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- W1858845474 date "2011-07-16" @default.
- W1858845474 modified "2023-10-01" @default.
- W1858845474 title "Mining user dwell time for personalized web search re-ranking" @default.
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- W1858845474 doi "https://doi.org/10.5591/978-1-57735-516-8/ijcai11-394" @default.
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