Optimally balancing receiver and recommended users' importance in reciprocal recommender systems.
Akiva KleinermanAriel RosenfeldFrancesco RicciSarit KrausPublished in: RecSys (2018)
Keyphrases
- recommender systems
- collaborative filtering
- information overload
- user profiles
- cold start problem
- matrix factorization
- collaborative filtering recommender systems
- user model
- recommendation quality
- active user
- trust aware
- implicit feedback
- user interaction
- recommendation systems
- user generated content
- user profiling
- user modeling
- content based filtering
- cold start
- recommendation algorithms
- end users
- information filtering
- user feedback
- data sparsity
- social media
- user groups
- association rules
- log data
- user interests
- latent factor models
- user preferences