Item Co-occurrence Analysis
Item Co-Occurrence Analysis is a methodological framework within basket analysis that identifies and quantifies the frequency with which pairs or sets of items appear together in transactional datasets, distinguishing it from other association mining techniques by focusing specifically on pairwise or higher-order co-occurrence patterns as indicators of item-level relationships.
52
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2.4K
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207
Authors
93
Institutions
Publications per year
2017–2026
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Factorization Meets the Item Embedding
Dawen Liang, Jaan Altosaar, Laurent Charlin et al. · 2016 · 250 citations
Embedding Factorization Models for Jointly Recommending Items and User Generated Lists
Da Cao, Liqiang Nie, Xiangnan He et al. · 2017 · 145 citations
Computing, Data Science, Data Mining +11
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China Medical University
Shenyang, China
13 h-index
61 publications
2.8K citations
First Hospital of China Medical University
Shenyang, China
10 h-index
44 publications
1.9K citations

Dalian Medical University
Dalian, China
2 h-index
6 publications
138 citations

Peking University
Beijing, China
2 h-index
2 publications
170 citations
Beijing Institute of Big Data Research
Beijing, China
2 h-index
5 publications
77 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
2 h-index
5 publications
80 citations
Fourth Affiliated Hospital of China Medical University
Shenyang, China
2 h-index
5 publications
324 citations
Dalian University of Technology
Dalian, China
2 h-index
5 publications
190 citations
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TKDE · 5 publications · 344 citations
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4 publications · 164 citations
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2 publications · 63 citations
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2 publications · 35 citations
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TKDD · 1 publications · 137 citations
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