Implicit Collaborative Filtering
Implicit Collaborative Filtering is a collaborative filtering approach that infers user preferences through implicitly observed behaviors—such as clicks, views, or purchases—rather than explicit ratings, by modeling patterns of user-item interactions under the assumption that observed engagement reflects underlying preference.
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2.3K
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77
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42
Institutions
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2017–2026
12
Variants
Implicit Feedback Collaborative Filtering
Parents
21
Attentive Collaborative Filtering
Jingyuan Chen, Hanwang Zhang, Xiangnan He et al. · 2017 · 876 citations
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Korea Advanced Institute of Science and Technology
Daejeon, South Korea
2 h-index
3 publications
467 citations
K.N.Toosi University of Technology
Tehran, Iran
1 h-index
1 publications
57 citations
Korea University
Seoul, South Korea
1 h-index
2 publications
482 citations

Hefei University of Technology
Hefei, China
1 h-index
1 publications
54 citations

University of Ouargla
Ouargla, Algeria
1 h-index
3 publications
126 citations
Hong Kong Baptist University
Hong Kong, Hong Kong
1 h-index
2 publications
48 citations

Széchenyi István University
Győr, Hungary
1 h-index
1 publications
53 citations
Kookmin University
Seoul, South Korea
1 h-index
1 publications
226 citations
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2 publications · 83 citations
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2 publications · 241 citations
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1 publications · 42 citations
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Conference · 1 publications · 22 citations
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DKE · 1 publications · 57 citations
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