Augmented Collaborative Filtering for Sparseness Reduction in Personalized POI Recommendation.
Chaoran CuiJialie ShenLiqiang NieRichang HongJun MaPublished in: ACM Trans. Intell. Syst. Technol. (2017)
Keyphrases
- collaborative filtering
- personalized recommendation
- collaborative recommendation
- user preferences
- recommender systems
- user profiles
- product recommendation
- context aware recommendation
- user specific
- recommendation systems
- information filtering
- user modeling
- matrix factorization
- recommendation algorithms
- data sparsity
- collaborative filtering recommendation
- online dating
- user interests
- cold start problem
- user behavior
- user profiling
- cold start
- personal preferences
- personalized services
- probabilistic matrix factorization
- e learning
- spreading activation
- user ratings
- collaborative filtering recommender systems
- user feedback
- user model
- collaborative filtering algorithms
- recommendation quality
- news recommendation
- deal with information overload
- making recommendations
- item recommendation
- latent factor models
- social tags
- web personalization
- transfer learning
- rating prediction
- personalized information
- content based filtering
- data sparseness
- individual user
- hybrid recommendation
- implicit feedback
- rating matrix
- location based services
- collaborative filtering recommendation algorithm
- missing data