Improving the accuracy of collaborative filtering recommendations using clustering and association rules mining on implicit data
The recommender systems are recently becoming more significant in the age of rapid development of the Internet technology due to their ability in making a decision to users on appropriate choices. Collaborative filtering (CF) is the most successful and most applied technique in the design of recomme...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Published: |
Elsevier Ltd
2017
|
| Subjects: |