Time-aware Recommendation
Time-Aware Recommendation is a type of context-aware recommendation method that explicitly models temporal dynamics to capture how user preferences and item popularity evolve over time.
328
Publications
15.7K
Citations
973
Authors
353
Institutions
Publications per year
2017–2026
184
Parents
328
Time-aware point-of-interest recommendation
Quan Yuan, Gao Cong, Zongyang Ma et al. · 2013 · 756 citations
Time weight collaborative filtering
Temporal diversity in recommender systems
Neal Lathia, Stephen Hailes, Licia Capra et al. · 2010 · 319 citations
1–5 of 328
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353
Tsinghua University
Beijing, China
14 h-index
58 publications
2.6K citations
Nanyang Technological University
Singapore, Singapore
10 h-index
17 publications
4.8K citations
Wuhan University
Wuhan, China
7 h-index
17 publications
497 citations
RMIT University
Melbourne, Australia
7 h-index
14 publications
687 citations

Chinese Academy of Sciences
Beijing, China
7 h-index
16 publications
1.6K citations
IBM (United States)
Armonk, United States
6 h-index
15 publications
726 citations
IBM Research - Thomas J. Watson Research Center
Yorktown Heights, United States
6 h-index
8 publications
404 citations
University of Technology Sydney
Sydney, Australia
6 h-index
9 publications
477 citations
1–8 of 353
15 publications · 1.2K citations
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12 publications · 267 citations
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8 publications · 248 citations
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Repository · 4 publications · 198 citations
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TKDE · 6 publications · 190 citations
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