A Recommender System for Personalized Exploration of Majors, Minors, and Concentrations.
Young ParkPublished in: RecSys Posters (2017)
Keyphrases
- recommender systems
- user profiles
- personalized recommendation
- user modeling
- information filtering
- product recommendation
- user model
- collaborative filtering
- personal preferences
- user preferences
- personalized search
- personalized services
- matrix factorization
- cold start problem
- computer science
- e learning
- implicit feedback
- air pollution
- college students
- cold start
- information overload
- computer scientists
- user feedback
- user context
- personalized information
- active exploration
- neural network
- providing personalized
- individual user
- data sparsity
- user oriented
- recommendation algorithms
- adaptive learning
- user interests
- context aware
- information retrieval
- machine learning