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
RECSYS16' Proceedings of the 10th ACM Conference on Recommender Systems, Sep 2016, Boston, United States. Proceedings of the 10th ACM Conference on Recommender Systems, 〈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 : jeudi 11 janvier 2018 - 06:26:37

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

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