COLLABORATIVE FILTERING RECOMMENDATION USING HYBRID METHOD
| Author(s) | : | Binal M. Patel, Prof., LDRP-ITR, Gandhinagar |
| Institution | : | P.G. Student(LDRP-ITR) |
| Published In | : | Vol. 3, Issue 12 — December 2016 |
| Page No. | : | 141-144 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Personalized recommendation systems are producing recommendation and widely used in today’s world.Collaborative filtering technique is most successful technique for recommendation. Collaborative filtering is a method ofmaking prediction about interest of user by collecting preferences from many users. The growth of users and products areincrease very quickly and its challenge for nearest-neighbor filtering algorithm. Many algorithms proposed so far, where theprincipal concern is collaborative filtering challenges. This approach can be implemented based on hybrid method which useuser and item based clustering. This method improves scalability and accuracy of recommendation system.
Binal M. Patel, Prof., LDRP-ITR, Gandhinagar, “COLLABORATIVE FILTERING RECOMMENDATION USING HYBRID METHOD”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 3, Issue 12, pp. 141-144, December 2016.
