Recommendation Engine for Mobile-Commerce Product using Heuristic Algorithm

Authors

  • Shanti Verma  Assistant Professor, L.J. Institute of Computer Applications, Ahmedabad, Gujarat, India
  • Kalyani Patel  Assistant Professor, K.S. School of Business Management, Ahmedabad, Gujarat, India

Keywords:

Online Shopping, Survey, Analysis, Mobile Commerce, Ontology, Heuristic Search

Abstract

Now days every age group people use online shopping to complete their daily needs. In this research proposal researcher tries to improve TAM model of Mobile commerce for searching of product. For that researcher first conduct an online survey using Google forms to find the factors associated with mobile commerce. By performing statistical analysis researcher calculate load factors associated with these factors which will used to update the class relationship of defined ontology of product for mobile commerce. Researcher will tries to compare various heuristic search algorithms and find out the best algorithm for defined ontology. Finally researcher will try to apply query based search for available ontology and updated ontology and prove that search results are better in updated ontology. The research proposal finally provides output as a recommendation engine for mobile commerce based on heuristic approach.

References

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2018-01-20

Issue

Volume 4, Issue 2, January-February-2018

Section

Research Articles

License

Copyright (c) IJSRSET

Creative Commons License

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

How to Cite

[1]
Shanti Verma, Kalyani Patel, " Recommendation Engine for Mobile-Commerce Product using Heuristic Algorithm, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 2, pp.98-103, January-February-2018.