COLLABORATIVE FILTERING APPROACHES FOR MOVIE RECOMMENDATION SYSTEM USING PROBABILISTIC RELATIONAL MODEL
| Author(s) | : | Asst. Prof. Hiren M. Patel, Asst. Prof Jayna B. Shah |
| Institution | : | Computer Engineering Department, SVIT-Vasad |
| Published In | : | Vol. 2, Issue 3 — March 2015 |
| Page No. | : | 266-271 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Recently, it has become more and more difficult for the existing web based systems to locate or retrieveany kind of relevant information, due to the rapid growth of the World Wide Web in terms of the information space andthe amount of the users in that space. However, in today's world, many systems and approaches make it possible for theusers to be guided by the recommendations that they provide about new items such as articles, news, books, music, andmovies. However, a lot of traditional recommender systems result in failure when the data to be used throughout therecommendation process is sparse. This Paper focuses on the development and evaluation of a web based movierecommendation system.
Asst. Prof. Hiren M. Patel, Asst. Prof Jayna B. Shah, “COLLABORATIVE FILTERING APPROACHES FOR MOVIE RECOMMENDATION SYSTEM USING PROBABILISTIC RELATIONAL MODEL”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 2, Issue 3, pp. 266-271, March 2015.
