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Authors: Denis Kotkov 1 ; Jari Veijalainen 1 and Shuaiqiang Wang 2

Affiliations: 1 University of Jyvaskyla, Finland ; 2 The University of Manchester

Keyword(s): Recommender Systems, Learning to Rank, Serendipity, Novelty, Unexpectedness, Algorithms, Evaluation.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Collective Intelligence ; Enterprise Information Systems ; Recommendation Systems ; Searching and Browsing ; Software Agents and Internet Computing ; Web Information Systems and Technologies ; Web Interfaces and Applications

Abstract: Most recommender systems suggest items to a user that are popular among all users and similar to items the user usually consumes. As a result, a user receives recommendations that she/he is already familiar with or would find anyway, leading to low satisfaction. To overcome this problem, a recommender system should suggest novel, relevant and unexpected, i.e. serendipitous items. In this paper, we propose a serendipity-oriented algorithm, which improves serendipity through feature diversification and helps overcome the overspecialization problem. To evaluate our algorithm and compare it with others, we employ a serendipity metric that captures each component of serendipity, unlike the most common metric.

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Paper citation in several formats:
Kotkov, D.; Veijalainen, J. and Wang, S. (2017). A Serendipity-Oriented Greedy Algorithm for Recommendations. In Proceedings of the 13th International Conference on Web Information Systems and Technologies - WEBIST; ISBN 978-989-758-246-2; ISSN 2184-3252, SciTePress, pages 32-40. DOI: 10.5220/0006232800320040

@conference{webist17,
author={Denis Kotkov. and Jari Veijalainen. and Shuaiqiang Wang.},
title={A Serendipity-Oriented Greedy Algorithm for Recommendations},
booktitle={Proceedings of the 13th International Conference on Web Information Systems and Technologies - WEBIST},
year={2017},
pages={32-40},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006232800320040},
isbn={978-989-758-246-2},
issn={2184-3252},
}

TY - CONF

JO - Proceedings of the 13th International Conference on Web Information Systems and Technologies - WEBIST
TI - A Serendipity-Oriented Greedy Algorithm for Recommendations
SN - 978-989-758-246-2
IS - 2184-3252
AU - Kotkov, D.
AU - Veijalainen, J.
AU - Wang, S.
PY - 2017
SP - 32
EP - 40
DO - 10.5220/0006232800320040
PB - SciTePress