Recommendation System for Customization of Mobile Services in Mobile Commerce Application

Authors

  • Sindhanaiselvi S  Master of Computer Applications, University College of Engineering, Anna University, BIT Campus, Tiruchirappalli, Tamil Nadu, India
  • Dr. N. Shenbagavadiu  Master of Computer Applications, University College of Engineering, Anna University, BIT Campus, Tiruchirappalli, Tamil Nadu, India

Keywords:

Personalization, Recommender System, Interface, Mass Customization.

Abstract

The fast development of mobile telephony has stimulated the growth of the mobile internet as a basis for mobile electronic commerce. Mobile phones are becoming a primary platform for information access and when coupled with recommender systems technologies they can become key tools for mobile users both for leisure and business applications. Recommendation techniques can increase the usability of mobile systems providing personalized and more focussed content, hence limiting the negative effects of information overload. Customization technology focuses on making a site more receptive to the individual needs of each user.Therefore, Customization may be used as a filtering mechanism which allows the delivery of information that mobile devices can handle efficiently .We conclude with ideas for new applications of recommender systems to E services. In our work we discuss relative performance issues and we focus on the customization and community factors of users’ interface in m-commerce applications.

References

  1. Reshma bhatia Mulvenna, D.M., Anand, S.S., and Buchner, G.A.,Personalization on the Net using Web Mining, Communications of  the ACM, Vol. 43. No.8 (2000), pp. 123-125
  2. Swati Nenava, 2001 Sarwar, B., Karypis, G., Konstan, J., Riedl, J., Analysis of Recommendation Algorithms for E-Commerce, in Proceedings of  ACM E-Commerce’00, pp. 158-167, 2000.
  3. Che Kao-Li., Konstan, J., and Riedl, J., E-commerce  Recommendation Applications, Data Mining and Knowledge Discovery, 5, pp. 115-153, 2001.
  4. Zhao Shou‐xiang., Konstan, J.A., and Riedl, J. (2005), Recommender Systems for the Web, Chapter 6 of Visualizing the Semantic Web,       2nd edition, Geroimenko, V., and Chen, C. eds. Springer Verla.

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

Downloads

Published

2017-06-30

Issue

Volume 2, Issue 3, May-June-2017

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

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

How to Cite

[1]
Sindhanaiselvi S, Dr. N. Shenbagavadiu, " Recommendation System for Customization of Mobile Services in Mobile Commerce Application, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 3, pp.278-281, May-June-2017.