Towards the Recommendation of Personalised Activity Sequences in the Tourism Domain

Files in This Item:
File Description SizeFormat 
insight_publication.pdf1.16 MBAdobe PDFDownload
Title: Towards the Recommendation of Personalised Activity Sequences in the Tourism Domain
Authors: Kumar, Gunjan
Jerbi, Houssem
O'Mahony, Michael P.
Permanent link: http://hdl.handle.net/10197/9190
Date: 31-Aug-2017
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
Funding Details: Science Foundation Ireland
Type of material: Conference Publication
Publisher: ACM
Keywords: Sequence recommendationRecommender systemsActivity recommendationActivity timeline matching
Language: en
Status of Item: Peer reviewed
Is 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
Appears in Collections:Computer Science Research Collection
Insight Research Collection

Show full item record

Google ScholarTM

Check


This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.