Pairwise Preference Over Mixed-Type Item-Sets Based Bayesian Personalized Ranking for Collaborative Filtering.
Shan GaoGuibing GuoYusong LinXingjin ZhangYongpeng LiuZongmin WangPublished in: DASC/PiCom/DataCom/CyberSciTech (2017)
Keyphrases
- contextual information
- personalized ranking
- implicit feedback
- itemsets
- collaborative filtering
- pairwise
- item recommendation
- matrix factorization
- bayesian analysis
- user preferences
- association rules
- cold start
- recommender systems
- frequent itemsets
- frequent item sets
- data structure
- market basket
- transactional databases
- data mining algorithms
- data streams
- data sparsity
- pattern mining
- frequent pattern mining
- association rule mining
- personalized recommendation
- apriori algorithm
- machine learning
- maximal frequent
- frequent patterns
- similarity measure
- mining algorithm
- eye tracking