The Dark Matter of Serendipity in Recommender Systems-Reference-Cited by-同舟云学术

The Dark Matter of Serendipity in Recommender Systems

Published:2024-03-10 Issue: Volume: Page:
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Container-title:Proceedings of the 2024 ACM SIGIR Conference on Human Information Interaction and Retrieval
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Author:

Kotkov Denis¹^ORCID,Medlar Alan¹^ORCID,Kask Triin²^ORCID,Glowacka Dorota¹^ORCID

Affiliation:

1. University of Helsinki, Finland

2. Metatellus, Estonia

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3627508.3638342

Reference42 articles.

1. Panagiotis Adamopoulos and Alexander Tuzhilin. 2011. On unexpectedness in recommender systems: Or how to expect the unexpected. In Workshop on Novelty and Diversity in Recommender Systems (DiveRS 2011), at the 5th ACM International Conference on Recommender Systems. ACM, 11–18.

2. On Unexpectedness in Recommender Systems

3. Gediminas Adomavicius and Alexander Tuzhilin. 2011. Context-Aware Recommender Systems. In Recommender Systems Handbook. Springer US, 217–253.

4. Naresh Kumar Agarwal. 2015. Towards a definition of serendipity in information behaviour.Information research: an international electronic journal 20, 3 (2015), n3.

5. Zheshi Bao and Jing Yang. 2022. Why online consumers have the urge to buy impulsively: roles of serendipity, trust and flow experience. Management Decision (2022).

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