Framework for Opinion Based Product Recommender System

Authors(3) :-Aijaz Ahmad Sheikh, Tasleem Arif, Majid Bashir Malik

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.

Authors and Affiliations

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

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

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Publication Details

Published in : Volume 4 | Issue 1 | March-April 2018
Date of Publication : 2018-04-25
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 17-21
Manuscript Number : CSEIT411803
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Aijaz Ahmad Sheikh, Tasleem Arif, Majid Bashir Malik, "Framework for Opinion Based Product Recommender System", International 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.
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