A Job Recommender System Based on User Clustering.
Wenxing HongSiting ZhengHuan WangJianchao ShiPublished in: J. Comput. (2013)
Keyphrases
- recommender systems
- collaborative filtering
- user preferences
- user model
- user profiles
- clustering method
- clustering algorithm
- user modeling
- information overload
- k means
- recommendation systems
- information filtering
- recommendation quality
- user profiling
- self organizing maps
- user interface
- information theoretic
- content based filtering
- matrix factorization
- user feedback
- user interests
- user interaction
- outlier detection
- product recommendation
- information retrieval systems
- categorical data
- social networks
- cold start problem
- relevance feedback
- unsupervised learning
- user experience
- user defined