Improved Listwise Collaborative Filtering with High-Rating-Based Similarity and Temporary Ratings.
Yoshiki TsuchiyaHajime NobuharaPublished in: IUI Workshops (2018)
Keyphrases
- collaborative filtering
- learning to rank
- pearson correlation coefficient
- user similarity
- recommender systems
- pairwise
- user ratings
- matrix factorization
- netflix prize
- loss function
- user preferences
- collaborative filtering algorithms
- data sparsity
- learning to rank algorithms
- rating prediction
- similarity measure
- rating matrix
- cold start problem
- personalized recommendation
- collaborative filtering recommender systems
- ranking svm
- recommendation systems
- user profiles
- ranking algorithm
- evaluation measures
- ranking functions
- relevance judgments
- user interests
- latent factor models
- implicit feedback
- demographic information
- recommendation quality
- collaborative filtering recommendation algorithm
- user feedback
- query dependent
- recommendation algorithms
- information retrieval