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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

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

Paper ID: IJSRDV4I40088
Published in: Volume : 4, Issue : 4
Publication Date: 01/07/2016
Page(s): 89-92

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