DC²B combines determinantal point processes with contextual combinatorial bandits for diversified interactive recommendation, using variational Bayesian Thompson sampling and providing regret analysis.
Practical diversified recommendations on youtube with determinantal point pro- cesses
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.IR 1years
2019 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Bandit Learning for Diversified Interactive Recommendation
DC²B combines determinantal point processes with contextual combinatorial bandits for diversified interactive recommendation, using variational Bayesian Thompson sampling and providing regret analysis.