Ratings vs. Reviews in Recommender Systems: A Case Study on the Amazon Movies Dataset.
Maria StratigiXiaozhou LiKostas StefanidisZheying ZhangPublished in: ADBIS (Short Papers and Workshops) (2019)
Keyphrases
- netflix prize
- recommender systems
- collaborative filtering
- cold start problem
- cold start
- user preferences
- personalized recommendation
- online reviews
- matrix factorization
- case study
- product recommendation
- latent factor models
- information overload
- recommendation quality
- rating prediction
- implicit feedback
- collaborative filtering recommender systems
- user modeling
- user feedback
- product reviews
- multimedia
- trust aware
- user model
- test bed
- user interests
- data sparsity
- recommendation systems
- active user
- user profiling
- user behavior
- user interaction
- user ratings
- user generated content
- database