Clustering based online learning in recommender systems: A bandit approach.
Linqi SongCem TekinMihaela van der SchaarPublished in: ICASSP (2014)
Keyphrases
- online learning
- recommender systems
- regret bounds
- collaborative filtering
- distance education
- matrix factorization
- distance learning
- e learning
- computer mediated
- user modeling
- bandit problems
- random sampling
- cold start problem
- user preferences
- information overload
- online course
- blended learning
- higher education
- active learning
- information filtering
- user interests
- user model
- online algorithms
- recommendation quality
- multi armed bandit
- personalized recommendation
- user profiling
- cold start
- product recommendation
- user profiles
- online learning environments