A Survey on Trustworthy Recommender Systems Article Swipe
Yingqiang Ge
,
Shuchang Liu
,
Zuohui Fu
,
Juntao Tan
,
Zelong Li
,
Shuyuan Xu
,
Yunqi Li
,
Yikun Xian
,
Yongfeng Zhang
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1145/3652891
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1145/3652891
Recommender systems (RS), serving at the forefront of Human-centered AI, are widely deployed in almost every corner of the web and facilitate the human decision-making process. However, despite their enormous capabilities and potential, RS may also lead to undesired effects on users, items, producers, platforms, or even the society at large, such as compromised user trust due to non-transparency, unfair treatment of different consumers, or producers, privacy concerns due to extensive use of user’s private data for personalization, just to name a few. All of these create an urgent need for Trustworthy Recommender Systems (TRS) so as to mitigate or avoid such adverse impacts and risks. In this survey, we will introduce techniques related to trustworthy recommendation, including but not limited to explainable recommendation, fairness in recommendation, privacy-aware recommendation, robustness in recommendation, user-controllable recommendation, as well as the relationship between these different perspectives in terms of trustworthy recommendation. Through this survey, we hope to deliver readers with a comprehensive view of the research area and raise attention to the community about the importance, existing research achievements, and future research directions on trustworthy recommendation.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1145/3652891
- https://dl.acm.org/doi/pdf/10.1145/3652891
- OA Status
- hybrid
- Cited By
- 41
- References
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- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
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https://doi.org/10.1145/3652891Digital Object Identifier
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A Survey on Trustworthy Recommender SystemsWork title
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articleOpenAlex work type
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enPrimary language
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2024Year of publication
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2024-04-13Full publication date if available
- Authors
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Yingqiang Ge, Shuchang Liu, Zuohui Fu, Juntao Tan, Zelong Li, Shuyuan Xu, Yunqi Li, Yikun Xian, Yongfeng ZhangList of authors in order
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https://doi.org/10.1145/3652891Publisher landing page
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://dl.acm.org/doi/pdf/10.1145/3652891Direct OA link when available
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Recommender system, Trustworthiness, Computer science, Transparency (behavior), Personalization, Internet privacy, World Wide Web, Computer securityTop concepts (fields/topics) attached by OpenAlex
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41Total citation count in OpenAlex
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2025: 28, 2024: 13Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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