Mining semantic data for solving first-rater and cold-start problems in recommender systems.
María N. Moreno GarcíaSaddys SegreraVivian F. López BatistaMaría Dolores Muñoz VicenteAngel L. SánchezPublished in: IDEAS (2011)
Keyphrases
- cold start problem
- semantic data
- recommender systems
- collaborative filtering
- cold start
- linked data
- matrix factorization
- data sparsity
- semantic web
- semantic search
- user interests
- collective intelligence
- semantic annotation
- conceptual model
- semantic web technologies
- data mining
- text mining
- implicit feedback
- search engine
- recommendation systems
- domain specific
- personalized recommendation
- object oriented
- data sparseness
- information extraction