A Package Recommendation Framework for Trip Planning Activities

Abstract : Classical recommender systems provide users with ranked lists of recommendations, where each one consists of a single item. However, these ranked lists are not suitable for applications such as trip planning, which deal with heterogeneous items. In this paper, we focus on the problem of recommending a set of packages to the user, where each package is constituted with a set of different Points of Interest that may constitute a tour. Given a collection of POIs, our goal is to recommend the most interesting packages for the user, where each package satisfies the budget constraints. We formally define the problem and we present a novel composite recommendation system, inspired from composite retrieval. Experimental evaluation of our proposed system, using a real-world dataset demonstrates its quality and its ability to improve both diversity and relevance of recommendations.
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Communication dans un congrès
10th ACM Conference on Recommender Systems (RECSYS16), Sep 2016, Boston, United States. pp.203-206, 〈https://recsys.acm.org/recsys16/〉. 〈10.1145/2959100.2959183〉
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https://hal.inria.fr/hal-01404716
Contributeur : Idir Benouaret <>
Soumis le : mardi 29 novembre 2016 - 10:49:20
Dernière modification le : mercredi 4 juillet 2018 - 16:44:02

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Idir Benouaret, Dominique Lenne. A Package Recommendation Framework for Trip Planning Activities. 10th ACM Conference on Recommender Systems (RECSYS16), Sep 2016, Boston, United States. pp.203-206, 〈https://recsys.acm.org/recsys16/〉. 〈10.1145/2959100.2959183〉. 〈hal-01404716〉

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