A noise correction-based approach to support a recommender system in a highly sparse rating environment.
Sujoy BagSusanta KumarAnjali AwasthiManoj Kumar TiwariPublished in: Decis. Support Syst. (2019)
Keyphrases
- recommender systems
- collaborative filtering
- collaborative environment
- real time
- web environment
- user preferences
- random noise
- computing environments
- error correction
- personal preferences
- software environment
- noise model
- sparse data
- noise level
- signal to noise ratio
- noisy data
- knowledge management
- mobile robot
- multi agent systems
- multiscale