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Authors: Denis Kotkov ; Shuaiqiang Wang and Jari Veijalainen

Affiliation: University of Jyvaskyla, Finland

ISBN: 978-989-758-186-1

Keyword(s): Recommender Systems, Cross-Domain Recommendations, Collaborative Filtering, Content-Based Filtering, Data Collection.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Collective Intelligence ; Enterprise Information Systems ; Recommendation Systems ; Software Agents and Internet Computing

Abstract: In recent years, there has been an increasing interest in cross-domain recommender systems. However, most existing works focus on the situation when only users or users and items overlap in different domains. In this paper, we investigate whether the source domain can boost the recommendation performance in the target domain when only items overlap. Due to the lack of publicly available datasets, we collect a dataset from two domains related to music, involving both the users' rating scores and the description of the items. We then conduct experiments using collaborative filtering and content-based filtering approaches for validation purpose. According to our experimental results, the source domain can improve the recommendation performance in the target domain when only items overlap. However, the improvement decreases with the growth of non-overlapping items in different domains.

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Paper citation in several formats:
Kotkov, D.; Wang, S. and Veijalainen, J. (2016). Cross-Domain Recommendations with Overlapping Items.In Proceedings of the 12th International Conference on Web Information Systems and Technologies - Volume 2: WEBIST, ISBN 978-989-758-186-1, pages 131-138. DOI: 10.5220/0005851301310138

@conference{webist16,
author={Denis Kotkov. and Shuaiqiang Wang. and Jari Veijalainen.},
title={Cross-Domain Recommendations with Overlapping Items},
booktitle={Proceedings of the 12th International Conference on Web Information Systems and Technologies - Volume 2: WEBIST,},
year={2016},
pages={131-138},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005851301310138},
isbn={978-989-758-186-1},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Web Information Systems and Technologies - Volume 2: WEBIST,
TI - Cross-Domain Recommendations with Overlapping Items
SN - 978-989-758-186-1
AU - Kotkov, D.
AU - Wang, S.
AU - Veijalainen, J.
PY - 2016
SP - 131
EP - 138
DO - 10.5220/0005851301310138

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