Exploiting Linked Open Data in Cold-start Recommendations with Positive-only Feedback.
Paolo TomeoIgnacio Fernández-TobíasTommaso Di NoiaIván CantadorPublished in: CERI (2016)
Keyphrases
- cold start
- linked open data
- recommender systems
- implicit feedback
- linked data
- cold start problem
- collaborative filtering
- semantic web
- metadata
- user feedback
- data sparsity
- tag recommendation
- user preferences
- personalized recommendation
- life sciences
- matrix factorization
- eye tracking
- user behavior
- semantic technologies
- user ratings
- data sparseness
- relevance feedback
- recommendation algorithms
- web search
- recommendation systems
- data sets
- big data
- rdf data
- expert systems
- search engine
- artificial intelligence
- databases