ProCF: Probabilistic Collaborative Filtering for Reciprocal Recommendation.
Xiongcai CaiMichael BainAlfred KrzywickiWayne WobckeYang Sok KimPaul ComptonAshesh MahidadiaPublished in: PAKDD (2) (2013)
Keyphrases
- collaborative filtering
- recommender systems
- matrix factorization
- data sparsity
- personalized recommendation
- recommendation systems
- bayesian networks
- online dating
- latent class models
- recommendation algorithms
- cold start problem
- cold start
- making recommendations
- latent factor models
- product recommendation
- information filtering
- web page recommendation
- collaborative filtering algorithms
- content based filtering
- user preferences
- implicit feedback
- uncertain data
- pearson correlation coefficient
- item based collaborative filtering
- posterior probability
- user ratings
- user profiles
- collaborative filtering recommendation
- probabilistic logic
- probabilistic model
- user feedback
- item recommendation
- movie recommendation
- probabilistic matrix factorization
- search engine
- rating matrix
- neighbor selection
- latent variables
- context aware
- generative model
- data driven
- similarity measure
- website