Context-aware Collaborative Filtering
Context-Aware Collaborative Filtering is a recommendation approach that extends traditional collaborative filtering by incorporating contextual information—such as time, location, or social environment—into the prediction model to improve recommendation accuracy through context-sensitive user-item interaction analysis.
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18.2K
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451
Authors
209
Institutions
Publications per year
2017–2026
64
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Alexandros Karatzoglou, Xavier Amatriain, Linas Baltrunas et al. · 2010 · 731 citations
A survey of collaborative filtering based social recommender systems
Xiwang Yang, Yang Guo, Yong Liu et al. · Computer Communications · 2013 · 470 citations
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New York University
New York, United States
5 h-index
8 publications
11.5K citations
Free University of Bozen-Bolzano
Bolzano, Italy
5 h-index
7 publications
1.2K citations

University of Minnesota
Minneapolis, United States
3 h-index
5 publications
10.5K citations
Telefonica Research and Development
Madrid, Spain
3 h-index
9 publications
3K citations

Polytechnic University of Bari
Bari, Italy
3 h-index
4 publications
161 citations
University of Technology Malaysia
Johor Bahru, Malaysia
3 h-index
5 publications
155 citations
University of Haifa
Haifa, Israel
3 h-index
6 publications
86 citations

TU Wien
Vienna, Austria
3 h-index
5 publications
199 citations
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6 publications · 571 citations
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4 publications · 227 citations
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2 publications · 143 citations
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