Manuscript Number : IJSRST196310
Implementation of Product Recommendation System Based on User Interest, Location and Social Circle
Authors(2) :-Punam Suryawanshi, Prof. Pragati Patil Recommendation System (RS) is used to find users interested things. With the start of social system, people are interested to share their experience, for example, rating, reviews, etc that has any sort of impact to recommend the things of user interest. Scarcely any recommendation systems has suggested that rely upon collaborative filtering, content based filtering and hybrid recommendation approachs. The present recommendation system isn't productive as need. It needs to require improvement in structure for present and future necessities to getting best results for recommendation qualities. This paper uses four variables, for instance, social segments, personal interest similarity, interpersonal impact and user's location information. Mix of these segments is utilized into a united personalized recommendation show which is depends upon probabilistic system factorization. In propose system we incorporate user location in dataset moreover use PCC comparability procedure which reduce bumbles and connection rules mining using FP-Growth which improves the exactness.
Punam Suryawanshi Interpersonal Influence, Personal Interest, Recommender System, Social Networks.
Publication Details
Published in : Volume 6 | Issue 3 | May-June 2019 Article Preview
PG Scholar, Department of Computer Science Engineering, Abha-Gaikwad Patil College of Engineering, Nagpur, Maharashtra, India.
Prof. Pragati Patil
Assistant Professor, Department of Computer Science Engineering, Abha-Gaikwad Patil College of Engineering, Nagpur, Maharashtra, India.
Date of Publication : 2019-05-30
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 59-65
Manuscript Number : IJSRST196310
Publisher : Technoscience Academy
Journal URL : https://ijsrst.com/IJSRST196310
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