Recommendation system to simplify opinion formation

R. Vignesh, Kumar Rishabh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper aims at introducing a new way of recommending movies to users. It is an improvement on the existing approaches of Content Based Recommendation system and Collaborative Filtering. Creating similar feature vectors for both the users and movies, we update it with every passing recommendation made. We then find out the nearest user by calculating the difference in the feature using root mean square error technique. We finally draw out a conclusion and observe the cases where this outperforms other popular algorithms. We also look at its shortcomings and list the scope for future improvements that could be made.

Original languageEnglish
Title of host publication2017 International Conference on Data Management, Analytics and Innovation, ICDMAI 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-4
Number of pages4
ISBN (Electronic)9781509040834
DOIs
Publication statusPublished - 18-10-2017
Externally publishedYes
Event1st International Conference on Data Management, Analytics and Innovation, ICDMAI 2017 - Pune, India
Duration: 24-02-201726-02-2017

Conference

Conference1st International Conference on Data Management, Analytics and Innovation, ICDMAI 2017
CountryIndia
CityPune
Period24-02-1726-02-17

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Information Systems
  • Information Systems and Management

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  • Cite this

    Vignesh, R., & Rishabh, K. (2017). Recommendation system to simplify opinion formation. In 2017 International Conference on Data Management, Analytics and Innovation, ICDMAI 2017 (pp. 1-4). [8073475] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICDMAI.2017.8073475