A comparative analysis of recommender systems based on item aspect opinions extracted from user reviews.
María Hernández-RubioIván CantadorAlejandro BellogínPublished in: User Model. User Adapt. Interact. (2019)
Keyphrases
- recommender systems
- user ratings
- cold start problem
- user preferences
- collaborative filtering
- personalized recommendation
- recommendation algorithms
- cold start
- rating prediction
- hybrid recommendation
- item recommendation
- user profiles
- user modeling
- matrix factorization
- information overload
- opinion summarization
- automatically extracted
- active user
- item based collaborative filtering
- trust aware
- making recommendations
- recommendation quality
- user similarity
- sentiment analysis
- information filtering
- transfer learning
- prediction accuracy
- user model
- personal experiences
- data sparsity
- positive or negative
- filtering algorithm