FAccTRec 2023: The 6th Workshop on Responsible Recommendation

被引：0

作者：

Ekstrand, Michael D. ^{[1
]}

Garcia-Gathright, Jean ^{[2
]}

Sonboli, Nasim ^{[3
]}

Raj, Amifa ^{[4
]}

Dinnissen, Karlijn ^{[5
]}

Burke, Robin ^{[6
]}

Schwab, Pierre-Nicolas ^{[7
]}

Belli, Luca ^{[8
]}

Kamishima, Toshihiro ^{[9
]}

机构：

[1] Boise State Univ, Dept Comp Sci, People & Informat Res Team, Boise, ID 83725 USA

[2] Pinterest, San Francisco, CA USA

[3] Brown Univ, Providence, RI USA

[4] Boise State Univ, Boise, ID USA

[5] Univ Utrecht, Utrecht, Netherlands

[6] Univ Colorado, Boulder, CO USA

[7] IntoTheMinds, Brussels, Belgium

[8] Sator Labs, San Francisco, CA USA

[9] Natl Inst Adv Ind Sci & Technol, Tsukuba, Ibaraki, Japan

来源：

PROCEEDINGS OF THE 17TH ACM CONFERENCE ON RECOMMENDER SYSTEMS, RECSYS 2023 | 2023年

关键词：

recommender system; fairness; transparency; ethics;

D O I：

10.1145/3604915.3608761

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The 6th Workshop on Responsible Recommendation (FAccTRec 2023) was held in conjunction with the 17th ACM Conference on Recommender Systems on September, 2023 at Singapore, in a hybrid format. This workshop brought together researchers and practitioners to discuss several topics under the banner of social responsibility in recommender systems: fairness, accountability, transparency, privacy, and other ethical and social concerns. It served to advance research and discussion of these topics in the recommender systems space, and incubate ideas for future development and refinement.

引用

页码：1267 / 1268

页数：2

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