A Review of Recommender System |
Author(s): |
| MANPREET KAUR , Sri Guru Granth Sahib World University,Fatehgarh Sahib; KAMALJIT KAUR, Sri Guru Granth Sahib World University,Fatehgarh Sahib |
Keywords: |
| Recommender system, social network, Content-based Filtering Systems; Collaborative filtering, Hybrid Recommender Systems |
Abstract |
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Recommender system is the software that is used to predict the rating given by the individual. Recommender system is used in numerous applications like entertainment, services, E-commerce etc. The recommender system are mainly classified into four category namely Content based filtering system, collaborative filtering and the hybrid recommender system. This paper presents the survey of the different category of the recommender system in which pros and cons are discussed. Experiments are performed for choosing best method of eth recommender system that is accurate. |
Other Details |
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Paper ID: IJSRDV4I40088 Published in: Volume : 4, Issue : 4 Publication Date: 01/07/2016 Page(s): 89-92 |
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