Collaborator recommendation in interdisciplinary computer science using degrees of collaborative forces, temporal evolution of research interest, and comparative seniority status.
Paweena ChaiwanaromChidchanok LursinsapPublished in: Knowl. Based Syst. (2015)
Keyphrases
- temporal evolution
- computer science
- artificial intelligence
- lecture notes
- temporal information
- collaborative filtering
- non stationary
- social sciences
- recommender systems
- recommendation systems
- collaborative learning
- cognitive science
- social aspects
- environmental sciences
- geographically dispersed
- dynamic networks
- researchers and practitioners
- knowledge sharing
- computer scientists
- collaborative environment
- data mining
- machine learning
- electrical engineering
- collaborative activities
- selected papers
- graduate students
- computer supported collaborative learning
- personalized recommendation
- multi user
- social networks
- interdisciplinary field