Collaborative Filtering for people-to-people recommendation in online dating: Data analysis and user trial.
Alfred KrzywickiWayne WobckeYang Sok KimXiongcai CaiMichael BainAshesh MahidadiaPaul ComptonPublished in: Int. J. Hum. Comput. Stud. (2015)
Keyphrases
- online dating
- collaborative filtering
- recommender systems
- data analysis
- user preferences
- recommendation systems
- matrix factorization
- data sparsity
- recommendation quality
- user ratings
- social networks
- user profiles
- user interests
- item recommendation
- information filtering
- user specific
- content based filtering
- personalized recommendation
- implicit feedback
- cold start problem
- active user
- recommendation algorithms
- cold start
- user profiling
- data mining
- cluster analysis
- latent factor models
- transfer learning
- end users
- machine learning