User-Item Reciprocity in Recommender Systems: Incentivizing the Crowd.
Alan SaidMartha A. LarsonDomonkos TikkPaolo CremonesiAlexandros KaratzoglouFrank HopfgartnerRoberto TurrinJoost GeurtsPublished in: UMAP Workshops (2014)
Keyphrases
- recommender systems
- collaborative filtering
- information filtering
- crowd sourced
- matrix factorization
- cold start problem
- user modeling
- trust aware
- cold start
- data sparsity
- implicit feedback
- data sets
- recommendation quality
- product recommendation
- information overload
- user interests
- user profiling
- user feedback
- user model
- user profiles
- real time
- collaborative filtering recommender systems
- content based filtering
- user preferences
- greater degree