A Temporal Clustering Approach for Social Recommender Systems

Ahmadian, S, Joorabloo, N, Jalili, M, Meghdadi, M, Afsharchi, M and Ren, Y 2018, 'A Temporal Clustering Approach for Social Recommender Systems', in 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Barcelona, Spain, 28-31 August 2018, pp. 1139-1144.


Document type: Conference Paper
Collection: Conference Papers

Title A Temporal Clustering Approach for Social Recommender Systems
Author(s) Ahmadian, S
Joorabloo, N
Jalili, M
Meghdadi, M
Afsharchi, M
Ren, Y
Year 2018
Conference name 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)
Conference location Barcelona, Spain
Conference dates 28-31 August 2018
Proceedings title 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)
Publisher IEEE
Place of publication Spain
Start page 1139
End page 1144
Total pages 6
Abstract Recommender systems aim to suggest relevant items to users among a large number of available items. They have been successfully applied in various industries, such as e-commerce, education and digital health. On the other hand, clustering approaches can help the recommender systems to group users into appropriate clusters, which are considered as neighborhoods in prediction process. Although it is a fact that preferences of users vary over time, traditional clustering approaches fail to consider this important factor. To address this problem, a social recommender system is proposed in this paper, which is based on a temporal clustering approach. Specifically, the temporal information of ratings provided by users on items and also social information among the users are considered in the proposed method. Experimental results on a benchmark dataset show that the quality of recommendations based on the proposed method is significantly higher than the state-of-the-art methods in terms of both accuracy and coverage metrics.
Subjects Dynamical Systems in Applications
Pattern Recognition and Data Mining
Complex Physical Systems
Keyword(s) recommender system
clustering
temporal
social information
graph
DOI - identifier 10.1109/ASONAM.2018.8508723
Copyright notice © 2018 IEEE
ISBN 9781538660515
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