A Survey on Location Based News Recommendation

Authors

  • Mrunalini Bhosale  Department of Computer Networks, Sinhgad College of Engineering, Savitribai Phule, Pune University, Pune, Maharashtra, India
  • Prof. U. A. Mande   Department of Computer Networks, Sinhgad College of Engineering, Savitribai Phule, Pune University, Pune, Maharashtra, India

Keywords:

Recommender System, Information Retrieval, Collaborative Filtering, Semantic Analysis.

Abstract

On the Internet, where the number of choices is overwhelming, there is need to filter, prioritize and efficiently deliver relevant information in order to alleviate the problem of information overload, which has created a potential problem to many Internet users. Recommender systems solve this problem by searching through large volume of dynamically generated information to provide users with personalized content and services. This paper explores the different characteristics and potentials of different filtering techniques in recommendation systems in order to serve as a compass for research and practice in the field of recommendation systems, basically we focus on the system developed for location aware based news recommendation system, we also discussed the brief survey on semantic analysis used for recommendation.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-02-28

Issue

Volume 3, Issue 2, January-February-2018

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Mrunalini Bhosale, Prof. U. A. Mande , " A Survey on Location Based News Recommendation, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 2, pp.138-143, January-February-2018.