Linked taxonomies to capture users' subjective assessments of items to facilitate accurate collaborative filtering.
Makoto NakatsujiYasuhiro FujiwaraPublished in: Artif. Intell. (2014)
Keyphrases
- collaborative filtering
- recommender systems
- recommendation systems
- data sparsity
- matrix factorization
- cold start problem
- user profiles
- user ratings
- online dating
- making recommendations
- user interests
- end users
- user interface
- active user
- content based filtering
- highly accurate
- product recommendation
- high accuracy
- recommendation quality
- implicit feedback
- user preferences
- deal with information overload
- user satisfaction
- user experience
- cold start
- novice users
- demographic information
- information overload
- social tagging systems
- recommendation algorithms
- user centric
- website
- web content
- social media
- high quality