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Serendipity in Recommender Systems: A Systematic Literature Review
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“Therefore, to balance out familiarity, diversity and novelty, it is necessary to consider the inclusion of serendipitous recommendations that are unexpected but still can be relevant (Ziarani and Ravanmehr 2021).”
From AdaptUI: A Framework for the development of Adaptive User Interfaces in Smart Product-Service Systems (2024) · cites this paper as Ziarani and Ravanmehr 2021
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Metadata
- Authors
- Ziarani, R. J., & Ravanmehr, R.
- Affiliations
- Islamic Azad University, Tehran (IR)
- Corresponding author
- Ravanmehr, Reza
- ORCID
- Ravanmehr, Reza
- Venue
- Journal of Computer Science and Technology
- Published
- 2021-03-31
- Volume
- 36
- Issue
- 2
- Pages
- 375-396
- ISSN
- 1000-9000 (ISSN-L)
- 1860-4749
- OpenAlex
- W3154445493
- Cited by
- 123
- References
- 99
- Citations by year
- 2026: 19 · 2025: 27 · 2024: 27 · 2023: 29 · 2022: 14 · 2021: 7
- FWCI
- 2.94
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Computer Science and Technology (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Recommender Systems and Techniques
- Physical Sciences › Computer Science › Information Systems › Information Retrieval and Search Behavior
- Social Sciences › Decision Sciences › Management Science and Operations Research › Advanced Bandit Algorithms Research
- Keywords
- serendipity, recommender systems, serendipitous recommendation, novelty, recommendation diversity, recommendation relevance, recommendation evaluation
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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