Collaborative Information Extraction for Adaptive Recommendations in a Multiagent Tourism Recommender System.
Víctor Sánchez-AnguixSergio EsparciaEstefania ArgenteAna García-FornesVicente JuliánPublished in: PAAMS (2010)
Keyphrases
- recommender systems
- information extraction
- multi agent
- collaborative filtering
- natural language processing
- cooperative
- multiagent systems
- collaborative recommender systems
- machine learning
- collaborative recommendation
- cold start problem
- precision and recall
- user preferences
- recommendation quality
- matrix factorization
- movie recommendation
- user profiles
- cold start
- textual data
- multi agent systems
- information filtering
- online dating
- text mining
- data sparsity
- user modeling
- electronic commerce
- semi structured
- autonomous agents
- question answering
- computer supported collaborative learning
- user interests
- user feedback
- recommendation algorithms
- named entity recognition
- free text
- machine translation
- named entities
- structured data