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• W2312920711 abstract "We present a novel adaptation technique for search engines to better support information-seeking activities that include both lookup and exploratory tasks. Building on previous findings, we describe (1) a classifier that recognizes task type (lookup vs. exploratory) as a user is searching and (2) a reinforcement learning based search engine that adapts accordingly the balance of exploration/exploitation in ranking the documents. This allows supporting both task types surreptitiously without changing the familiar list-based interface. Search results include more diverse results when users are exploring and more precise results for lookup tasks. Users found more useful results in exploratory tasks when compared to a base-line system, which is specifically tuned for lookup tasks." @default.
• W2312920711 created "2016-06-24" @default.
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• W2312920711 date "2016-03-07" @default.
• W2312920711 modified "2023-10-16" @default.
• W2312920711 title "Beyond Relevance" @default.
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• W2312920711 doi "https://doi.org/10.1145/2856767.2856786" @default.
• W2312920711 hasPublicationYear "2016" @default.
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