Active Learning and User Segmentation for the Cold-start Problem in Recommendation Systems.
Rabaa AlabdulrahmanHerna L. ViktorEric PaquetPublished in: KDIR (2019)
Keyphrases
- recommendation systems
- cold start problem
- collaborative filtering
- recommender systems
- active learning
- user preferences
- cold start
- personalized recommendation
- data sparsity
- recommendation quality
- matrix factorization
- collaborative recommendation
- user feedback
- transfer learning
- recommendation algorithms
- information overload
- user profiles
- tag recommendation
- user interests
- search engine
- implicit feedback
- personalized services
- learning to rank
- web search
- semi supervised
- user interface