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• W3100408341 abstract "In 2019, the Recommender Systems Challenge [17] dealt for the first time with a real-world task from the area of e-tourism, namely the recommendation of hotels in booking sessions. In this context, we present the release of a new dataset that we believe is vitally important for recommendation systems research in the area of hotel search, from both academic and industry perspectives. In this article, we describe the qualitative characteristics of the dataset and present the comparison of several baseline algorithms trained on the data." @default.
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• W3100408341 date "2020-11-13" @default.
• W3100408341 modified "2023-10-18" @default.
• W3100408341 title "Session-based Hotel Recommendations Dataset" @default.
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• W3100408341 doi "https://doi.org/10.1145/3412379" @default.
• W3100408341 hasPublicationYear "2020" @default.
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