Product Recommendation System Based on User Interest, Location and Social Circle

Authors(2) :-Pooja Kakde, T. R. Ravi

Recommendation System (RS) is utilized to discover users interested things. With the start of social system, individuals are interested to share their experience, for instance, rating, audits, and so forth that has any kind of effect to prescribe the things of user interest. Few recommendation frameworks has proposed that depend on collaborative filtering, content based filtering and hybrid recommendation methodologies. The present recommendation system is not productive as want. It needs to require improvement in structure for present and future necessities to getting best outcomes for recommendation characteristics. This paper utilizes four factors, for example, social components, personal interest comparability, interpersonal effect and user's location data. Blend of these components is used into a brought together personalized recommendation show which is relies upon probabilistic network factorization. In propose system we include user location in dataset additionally utilize PCC similitude technique which diminish blunders and affiliation rules mining utilizing FP-Growth which enhances the accuracy.

Authors and Affiliations

Pooja Kakde
M.Tech Scholar, Department of Computer Technology, Yeshwantrao Chavan College of Engineering, Nagpur, Maharashtra, India
T. R. Ravi
Assistant Professor, Department of Computer Technology, Yeshwantrao Chavan College of Engineering, Nagpur, Maharashtra, India

Interpersonal Influence, Personal Interest, Recommender System, Social Networks.

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Publication Details

Published in : Volume 4 | Issue 2 | 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) : 352-357
Manuscript Number : CSEIT1833715
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Pooja Kakde, T. R. Ravi, "Product Recommendation System Based on User Interest, Location and Social Circle", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 2, pp.352-357, March-April-2018.
Journal URL : http://ijsrcseit.com/CSEIT1833715

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