Framework for Opinion Based Product Recommender System

Authors

  • Aijaz Ahmad Sheikh  Department Information Technology, BGSB University, Rajouri, Jammu & Kashmir, India
  • Tasleem Arif  Department Information Technology, BGSB University, Rajouri, Jammu & Kashmir, India
  • Majid Bashir Malik  Department Computer Science, BGSB University, Rajouri, Jammu & Kashmir, India

Keywords:

E-Commerce; Ratings; Reviews; Online Shopping; Recommendation Technique.

Abstract

The growth of the internet has boosted the E-Commerce (online shopping). Nowadays online shopping is very much popular with the increased number of individuals connected to the internet, and day by day the interest in online shopping is also increasing. The increasing number of products over the E-Commerce has created the problems for the users to purchase the exact product at the exact time because of information overload. A recommender system recommends suitable item to the users from among the huge amount of data that fulfill their taste, interest and behavior. The paper presents an overview of the Recommender system, it is techniques with their shortcoming and further we proposed our framework for product recommendation using opinions.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-04-25

Issue

Volume 4, Issue 1, March-April-2018

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Aijaz Ahmad Sheikh, Tasleem Arif, Majid Bashir Malik, " Framework for Opinion Based Product Recommender System, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 1, pp.17-21, March-April-2018.