A Review Paper on BFO and PSO Based Movie Recommendation System
Author(s):
Pooja Mittan , Geeta Engineering College, Naultha, Panipat; Bhupender Sharma, Geeta Engineering College, Naultha, PanipatKeywords:
Matlab, Optimization, Particle Swarm Optimization, Movie Recommendation SystemAbstract:
Recommendation system plays important role in Internet world and used in many applications. It has created the collection of many application, created global village and growth for numerous information. This paper represents the overview of Approaches and techniques generated in recommendation system. Recommendation system is categorized in three classes: Collaborative Filtering, Content based and hybrid based Approach. This paper classifies collaborative filtering in two types: Memory based and Model based Recommendation .The paper elaborates these approaches and their techniques with their limitations. The result of our system provides much better recommendations to users because it enables the users to understand the relation between their emotional states and the recommended movies.
Other Details:
| Manuscript Id | : | J4RV4I1015 |
| Published in | : | Volume : 4, Issue : 1 |
| Publication Date | : | 01/04/2018 |
| Page(s) | : | 53-58 |
