How item discovery enabled by diversity leads to increased recommendation list attractiveness.
Bruce FerwerdaMark P. GrausAndreu VallMarko TkalcicMarkus SchedlPublished in: SAC (2017)
Keyphrases
- user preferences
- personalized recommendation
- cold start problem
- recommender systems
- item recommendation
- collaborative filtering
- latent factor models
- collaborative filtering recommendation algorithm
- cold start
- recommendation systems
- recommendation algorithms
- data mining
- discovery process
- long tail
- personal preferences
- matrix factorization
- item based collaborative filtering
- making recommendations
- case study
- evolutionary algorithm
- knowledge discovery
- tag recommendation
- user ratings
- pattern discovery
- scientific discovery
- travel information
- user behavior
- contextual bandit
- real time