A Study on Recommendation Systems in Location Based Social Networking

  • Lakshmi Shree Kullappa Faculty of Information Science and Engineering Vemana Institute of Technology Bangalore, India
  • Ranganath Ashok Kumar Faculty of Information Science and Engineering BMS College of Engineering
  • Rajeshwari Kullappa Faculty of Information Science and Engineering BMS College of Engineering
Keywords: GPS trajectories, user similarity, Location based social networks, Collaborative Filtering, Recommendation systems

Abstract

Smart devices in the hands of people are revolutionizing the social lifestyle of one's self. Everyone across the world are using smart devices linked to their social networking activities one such activity is to share location data by uploading the tagged media content like photos, videos. The data is of surroundings, events attended/attending and travel experiences. Users share their experiences at a given location through localization techniques.  Using such data from social networks an attempt is made to analyse tagged media content to acquire information on user context, individual’s interests, tastes, behaviours and derive meaningful relationships amongst them are referred to as Location Based Social Networks (LBSNs). The resulting information can be used to market a product and to improve business, as well recommend a travel and plan an itinerary. This paper presents a comprehensive survey of recommended systems for LBSNs covering the concepts of LBSNs, terminologies of LBSN and various recommendation systems.

 

Author Biographies

Lakshmi Shree Kullappa, Faculty of Information Science and Engineering Vemana Institute of Technology Bangalore, India

Research Scholar 

Department of Information Science and Engineering

Ranganath Ashok Kumar, Faculty of Information Science and Engineering BMS College of Engineering
Information Science
Rajeshwari Kullappa, Faculty of Information Science and Engineering BMS College of Engineering
Information Science
Published
2017-12-13
Section
Articles