Exploiting Ratings, Reviews and Relationships for Item Recommendations in Topic Based Social Networks.
Pengfei LiHua LuGang ZhengQian ZhengLong YangGang PanPublished in: WWW (2019)
Keyphrases
- social networks
- user similarity
- user ratings
- cold start problem
- user preferences
- personalized recommendation
- collaborative filtering
- recommender systems
- cold start
- product reviews
- making recommendations
- recommendation algorithms
- active user
- social relationships
- rating prediction
- user interests
- latent factor models
- item recommendation
- collaborative recommendation
- online dating
- customer reviews
- opinion mining
- collaborative filtering algorithms
- influence propagation
- social network analysis
- topic models
- online reviews
- pearson correlation coefficient
- topic modeling
- prediction accuracy
- matrix factorization
- data sparsity
- social influence
- recommendation systems
- social media
- link prediction
- sentiment analysis
- social network data
- social relations
- opinion summarization
- online social networks
- user generated
- social interaction
- user behavior
- social groups
- user profiles
- community structure
- tag recommendation
- product features
- location based social networks
- website
- network structure
- community detection
- latent factors
- virtual communities
- communication patterns