A Survey - Approaches and Challenges for Cloud Based Recommendation System

Authors(2) :-Sindhu J, Roopa G M

Today there is a big variety of different approaches and algorithms of recommendation systems. Recommender System is an expedient software tool that is integrated with the e-Commerce business applications for effective information access. It provides suggestions by filtering the information from this availability of information, such that the users meet their needs and interest. Till now different approaches and techniques have been proposed and implemented to provide accurate recommendations to user. But still there exists some gaps to provide effective recommendations to users. In this paper we describe the recommendation system related research and then introduce various techniques, methods, and approaches used by the recommender system. Also we describe the challenges and drawbacks of the existing recommendation system.

Authors and Affiliations

Sindhu J
Department of Computer Science and Engineering Bapuji Institute of Engineering and Technology, Davanagere, Karnataka, India
Roopa G M
Department of Computer Science and Engineering Bapuji Institute of Engineering and Technology, Davanagere, Karnataka, India

Recommendation system, Content based algorithm, Collaborative Filtering Approach, Content Based Filtering Approach, Hybrid Approach, Cold Start, Data Sparseness and Scalability, Context-Aware Web Services, Multi-objective Optimization

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Publication Details

Published in : Volume 3 | Issue 3 | March-April 2018
Date of Publication : 2018-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 140-144
Manuscript Number : CSEIT1725204
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Sindhu J, Roopa G M , "A Survey - Approaches and Challenges for Cloud Based Recommendation System", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 3, pp.140-144, March-April-2018.
Journal URL : http://ijsrcseit.com/CSEIT1725204

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