Improving Serendipity and Accuracy in Cross-Domain Recommender Systems
Kotkov, D., Wang, S., & Veijalainen, J. (2017). Improving Serendipity and Accuracy in Cross-Domain Recommender Systems. In V. Monfort, K.-H. Krempels, T. A. Majchrzak, & P. Traverso (Eds.), WEBIST 2016 : the 12th International conference on web information systems and technologies. Revised Selected Papers (pp. 105-119). Springer International Publishing AG. Lecture Notes in Business Information Processing, 292. https://doi.org/10.1007/978-3-319-66468-2_6
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Lecture Notes in Business Information ProcessingDate
2017Copyright
© Springer International Publishing AG 2017. This is a final draft version of an article whose final and definitive form has been published by Springer. Published in this repository with the kind permission of the publisher.
Cross-domain recommender systems use information from source domains
to improve recommendations in a target domain, where the term domain
refers to a set of items that share attributes and/or user ratings. Most works on
this topic focus on accuracy but disregard other properties of recommender systems.
In this paper, we attempt to improve serendipity and accuracy in the target
domain with datasets from source domains. Due to the lack of publicly available
datasets, we collect datasets from two domains related to music, involving
user ratings and item attributes. We then conduct experiments using collaborative
filtering and content-based filtering approaches for the purpose of validation. According
to our results, the source domain can improve serendipity in the target
domain for both approaches. The source domain decreases accuracy for contentbased
filtering and increases accuracy for collaborative filtering. The improvement
of accuracy decreases with the growth of non-overlapping items in different
domains.
...
Publisher
Springer International Publishing AGParent publication ISBN
978-3-319-66467-5Conference
International conference on web information systems and technologiesIs part of publication
WEBIST 2016 : the 12th International conference on web information systems and technologies. Revised Selected PapersISSN Search the Publication Forum
1865-1348Keywords
Publication in research information system
https://converis.jyu.fi/converis/portal/detail/Publication/27260260
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Research Council of FinlandFunding program(s)
Academy Project, AoFAdditional information about funding
The research at the University of Jyväskylä was performed in the MineSocMed project, partially supported by the Academy of Finland, grant #268078. The communication of this research was supported by Daria Wadsworth.Related items
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