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Service Rating Prediction by Exploring Social Mobile User's Geographical Locations

Author(s):

Shubhada Mungase , Genba Sopanrao Moze College of Engineering, Balewadi Pune; Nilesh Pandit, Genba Sopanrao Moze College of Engineering, Balewadi Pune; Bhagyashree Sonwane, Genba Sopanrao Moze College of Engineering, Balewadi Pune; Aniket Wanjale, Genba Sopanrao Moze College of Engineering, Balewadi Pune; Prof. Pranali Deshmukh, Genba Sopanrao Moze College of Engineering, Balewadi Pune

Keywords:

Geographical Location, Rating Prediction, Recommender System, Location-Based Social Network

Abstract

Social media is for rating system presently a day's. Users update share or tag photos throughout their visits. The geographical data set by sensible phone bridges the gap between physical and digital worlds. Location data functions as a results of the affiliation between user's physical behaviors and virtual social web works structured by the sensible phone or net services user offers ratings to that place and this place becomes fashionable the help of rating prediction and user is used social media for rating. presently a day's social media becomes modern. We tend to tend to take a seat down with these social networks involving geographical knowledge as location-based social networks (LBSNs). Such knowledge brings opportunities and challenges for recommender systems to unravel the cold begin, meagerness drawback of datasets and rating prediction. Throughout this paper, we tend to tend to change use of the mobile users' location sensitive characteristics to carry out rating postulation. The affiliation between user's ratings and user-item geographical location distances, called user-item geographical affiliation, the affiliation between users' rating variations and user-user geographical location distances, called user-user geographical affiliation. Paper, we have a bent to vary use of the mobile users' location sensitive characteristics to carry out rating declaration.

Other Details

Paper ID: IJSRDV5I100285
Published in: Volume : 5, Issue : 10
Publication Date: 01/01/2018
Page(s): 654-656

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