Context-Tree Recommendation vs Matrix-Factorization: Algorithm Selection and Live Users Evaluation.
Stéphane MartinBoi FaltingsVincent SchickelPublished in: AAAI (2019)
Keyphrases
- recommender systems
- collaborative filtering
- personal preferences
- social context
- user centered
- online dating
- recommendation systems
- cold start problem
- user studies
- user interface
- individual user
- user context
- user centric
- information overload
- user experience
- contextual information
- tree structure
- user feedback
- product recommendation
- user ratings
- collaborative recommendation
- context aware
- user modeling
- data sparsity
- personalized services
- recommendation quality
- social networking services
- query recommendation
- context aware services
- helping users
- amazon mechanical turk
- data structure
- context aware mobile
- social tagging
- tag recommendation
- implicit feedback
- recommendation algorithms
- context awareness
- matrix factorization
- user preferences
- user interaction
- web search
- end users
- social media