Improving Deep Item-Based Collaborative Filtering with Bayesian Personalized Ranking for MOOC Course Recommendation.
Xiao LiXiang LiJintao TangTing WangYang ZhangHongyi ChenPublished in: KSEM (1) (2020)
Keyphrases
- item based collaborative filtering
- personalized ranking
- collaborative filtering
- item recommendation
- implicit feedback
- cold start problem
- recommender systems
- matrix factorization
- bayesian analysis
- recommendation algorithms
- tag recommendation
- cold start
- recommendation systems
- personalized recommendation
- personalized services
- data sparsity
- user behavior
- user preferences
- filtering algorithm
- eye tracking
- tensor factorization
- web search
- search engine
- user feedback
- computationally feasible
- web pages