Recommendation Engine for Mobile-Commerce Product using Heuristic Algorithm

Authors(2) :-Shanti Verma, Kalyani Patel

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.

Authors and Affiliations

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

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

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Publication Details

Published in : Volume 4 | Issue 2 | January-February 2018
Date of Publication : 2018-01-20
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 98-103
Manuscript Number : IJSRSET184218
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

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
URL : http://ijsrset.com/IJSRSET184218

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