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Association rules for recommendations with multiple items
Abhijeet Ghoshal
, Sumit Sarkar
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Dive into the research topics of 'Association rules for recommendations with multiple items'. Together they form a unique fingerprint.
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Keyphrases
Multiple Items
100%
Association Rules
100%
Matrix Factorization
66%
Collaborative Filtering
66%
Disjunctive Rules
66%
Relative Performance
33%
Pruning
33%
Data Mining Techniques
33%
Pruning Strategy
33%
Multiple Interactions
33%
Search Space
33%
Disjunction
33%
Web-based Environment
33%
Recommendation Accuracy
33%
Clickstream Data
33%
Transactional Data
33%
Recommendation Approach
33%
Computer Science
Association Rules
100%
Consequent Rule
100%
Matrix Factorization
50%
Collaborative Filtering
50%
Relative Performance
25%
Search Space
25%
Transactional Data
25%