Handling cold-start scenarios in point-of-interest recommendations through crowdsourcing.
Pramit MazumdarBidyut Kr. PatraKorra Sathya BabuPublished in: COMAD/CODS (2018)
Keyphrases
- cold start
- recommender systems
- cold start problem
- collaborative filtering
- data sparsity
- user preferences
- tag recommendation
- implicit feedback
- personalized recommendation
- recommendation quality
- recommendation algorithms
- user ratings
- data sparseness
- user feedback
- information overload
- user interests
- matrix factorization
- image understanding
- transfer learning