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

  1. Prof Shanti verma, Dr. Kalyani patel. "Survey on smart phone and mobile commerce usage in India." IEEE International advance computing conference (IACC-2017). IEEE, 2017.
  2. Kalyani patel, Shanti verma. "Impact of Consumer Gender on Expenditure done in Mobile shopping using Test of Independence." Second International Conference on ICT forSustainable Development (ICT4SD-2016). Springer Proceedings Book-LNNS Series, 2016.
  3. Verma, Shanti, and Kalyani Patel. "Dependency between type of product purchased and payment method opted by Indian consumer in Mobile shopping." Cloud Computing, Data Science & Engineering-Confluence, 2017 7th International Conference on. IEEE,2017.
  4. Kalyani patel Shanti verma "Impact of Consumer Gender on Expenditure done in Mobile shopping using Test of Independence" , Second International Conference on ICT for Sustainable Development (ICT4SD-2016. Springer ProceedingsBook-LNNS Series, 2016.
  5. Muthukumar, S., and N. Muthu. "The Indian kaleidoscope: emerging trends in M-Commerce."
  6. Sanjivani Mahor, Sourabh Jain "M-Commerce with Process of Knowledge Discovery" International Journal of Computer Technology and Electronics Engineering (IJCTEE) Volume 1 , Issue 2 page 150-154
  7. Gan Teck Wei, Shirly Kho, Wahidah Husain, Zurinahni Zainol, " A Study of Customer Behaviour Through Web Mining" Journal of Information Sciences and Computing Technologies Volume 2, Issue 1 2015 page 103-107
  8. Gupta, Rajan, and Chaitanya Pathak. "A Machine Learning Framework for Predicting Purchase by Online Customers based on Dynamic Pricing."Procedia Computer Science 36 (2014): 599-605.
  9. Turkyilmaz, Ceyda Aysuna, Sakir Erdem, and Aypar Uslu. "The Effects of Personality Traits and Website Quality on Online Impulse Buying." Procedia-Social and Behavioral Sciences 175 (2015): 98-105.
  10. Gohary, Ali, and Kambiz Heidarzadeh Hanzaee. "Personality Traits as Predictors of Shopping Motivations and Behaviors: A Canonical Correlation Analysis." Arab Economic and Business Journal 9.2 (2014): 166-174.
  11. Chiang, I-ping, and Yi-Shiang Liao. "Exploring the key success factors of mobile commerce in Taiwan." Advanced Information Networking and Applications Workshops (WAINA), 2012 26th International Conferenceon. IEEE, 2012.
  12. Wu, Jen-Her, et al. "Falling in love with online shopping carnival on singles' day in China: An uses and Gratifications perspective." Computer and Information Science (ICIS), 2016 IEEE/ACIS 15th International Conference on. IEEE, 2016.
  13. Naili, Mohamed, Abdelhak Boubetra, and Abdelkamel Tari. "Mobile Commerce Websites Ranking." NGMAST. 2014.
  14. Li, Qiang, et al. "Multi-Classes Feature Engineering with Sliding Window for Purchase Prediction in Mobile Commerce." 2015 IEEE International Conference on Data Mining Workshop (ICDMW). IEEE, 2015.
  15. Seth, Earley. "Mobile Commerce: A Broader Perspective." IT Professional 16.3 (2014): 61-65.

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.
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