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M-BPR: A novel approach to improving BPR for recommendation with multi-type pair-wise preferences.
Yeon-Chang Lee
Taeho Kim
Jaeho Choi
Xiangnan He
Sang-Wook Kim
Published in:
Inf. Sci. (2021)
Keyphrases
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multi type
user preferences
pairwise
business processes
data objects
relational data
collaborative filtering
reverse nearest neighbor
semi supervised
data sets
cost model
relational databases
recommender systems
co occurrence