Recommendation Approaches Using Context-Aware Coupled Matrix Factorization
In general, recommender systems attempt to estimate user preference based on historical data. A context-aware recommender system attempts to generate better recommendations using contextual information. However, generating recommendations for specific contexts has been challenging because of the dif...
| Main Author: | |
|---|---|
| Other Authors: | |
| Language: | en |
| Published: |
Université d'Ottawa / University of Ottawa
2017
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10393/37012 http://dx.doi.org/10.20381/ruor-21284 |