Personalized Commodity Recommendations of Retail Business Using User Feature Based Collaborative Filtering.
Feiran WangYiping WenTianhang GuoJinjun ChenBuqing CaoPublished in: ISPA/IUCC/BDCloud/SocialCom/SustainCom (2018)
Keyphrases
- collaborative filtering
- recommender systems
- personalized recommendation
- user preferences
- user profiles
- product recommendation
- recommendation quality
- recommendation systems
- making recommendations
- user ratings
- user model
- user interests
- content based filtering
- cold start
- user specific
- cold start problem
- active user
- user modeling
- online dating
- information filtering
- matrix factorization
- recommendation algorithms
- user feedback
- collaborative recommendation
- item recommendation
- user oriented
- personal preferences
- personalized search
- data sparsity
- information overload
- implicit feedback
- web page recommendation
- providing personalized
- user profiling
- personalized services
- end users
- information systems
- demographic information
- business process
- cross selling
- collaborative filtering recommendation
- collaborative filtering algorithms
- data mining
- collaborative filtering recommender systems
- user similarity
- web personalization
- user centered
- electronic commerce
- user interaction
- knowledge management
- supply chain
- individual user
- latent factor models
- user centric
- business models
- business intelligence
- website
- social networks