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Towards the Recommendation of Personalised Activity Sequences in the Tourism Domain
Date Issued
2017-08-31
Date Available
2018-01-23T15:49:11Z
Abstract
In this paper we consider the problem of recommending sequencesof activities to a user. The proposed approach leverages the order aswell as the context associated with the users past activity patternsto make recommendations. This work extends the general activityrecommendation framework proposed in [16] to iteratively recommendthe next sequence of activities to perform. We demonstratethe efficacy of our recommendation framework by applying it to thetourism domain and evaluations are performed using a real-world(checkin) dataset
Sponsorship
Science Foundation Ireland
Type of Material
Conference Publication
Publisher
ACM
Web versions
Language
English
Status of Item
Peer reviewed
Part of
Proceedings of the 2nd Workshop on Recommenders in Tourism co-located with 11th ACM Conference on Recommender Systems (RecSys 2017)
Conference Details
RecTour 2017 2nd Workshop on Recommenders in Tourism. Como, Italy, 27 August 2017
This item is made available under a Creative Commons License
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