An Adjusted Recommendation List Size Approach for Users' Multiple Item Preferences.
Serhat PekerAltan KoçyigitPublished in: AIMSA (2016)
Keyphrases
- user preferences
- making recommendations
- recommender systems
- personal preferences
- collaborative filtering
- recommendation systems
- cold start problem
- recommendation algorithms
- user similarity
- user ratings
- user profiles
- cold start
- user feedback
- personalized recommendation
- personalized services
- multiple users
- collaborative recommendation
- user interests
- information overload
- item recommendation
- user specific
- preference model
- active user
- data sparsity
- individual user
- long tail
- online dating
- user behavior
- user modeling
- item based collaborative filtering
- tag recommendation
- matrix factorization
- user interaction
- individual preferences
- decision making
- content based filtering
- social media
- user interface
- social networks
- browsing behavior
- recommendation quality
- product recommendation
- social context
- user requirements
- personal interests
- hybrid recommendation