On the feasibility of predicting popular news at cold start.
Ioannis ArapakisBerkant Barla CambazogluMounia LalmasPublished in: J. Assoc. Inf. Sci. Technol. (2017)
Keyphrases
- cold start
- recommender systems
- cold start problem
- collaborative filtering
- user preferences
- data sparsity
- implicit feedback
- tag recommendation
- social media
- data sparseness
- personalized recommendation
- keywords
- image understanding
- matrix factorization
- web search engines
- web mining
- information overload
- user generated content
- active learning