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Reseach Article

A Review on Web Recommendation System

by Animesh Shrivastava, Anand Singh Rajawat
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 83 - Number 17
Year of Publication: 2013
Authors: Animesh Shrivastava, Anand Singh Rajawat
10.5120/14668-2842

Animesh Shrivastava, Anand Singh Rajawat . A Review on Web Recommendation System. International Journal of Computer Applications. 83, 17 ( December 2013), 14-17. DOI=10.5120/14668-2842

@article{ 10.5120/14668-2842,
author = { Animesh Shrivastava, Anand Singh Rajawat },
title = { A Review on Web Recommendation System },
journal = { International Journal of Computer Applications },
issue_date = { December 2013 },
volume = { 83 },
number = { 17 },
month = { December },
year = { 2013 },
issn = { 0975-8887 },
pages = { 14-17 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume83/number17/14668-2842/ },
doi = { 10.5120/14668-2842 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:59:38.738748+05:30
%A Animesh Shrivastava
%A Anand Singh Rajawat
%T A Review on Web Recommendation System
%J International Journal of Computer Applications
%@ 0975-8887
%V 83
%N 17
%P 14-17
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In Web world, there is immense of information available on the internet but user is not capable to find relevant information in short period of time. Therefore, a system called recommendation system developed to assist user in their browsing activities. It analyzes users need and provides relevant information in shorter span. In this work, various recommendation systems reviewed to analyze their problems and solutions. In order to improve the recommendation quality, a new web recommendation system is introduced. This system uses knn and genetic algorithm during web usage mining process to analyze static web access log.

References
  1. Tung-Yen Lai, Gwo-Haur Hwang, 'Application of Half-Life Theory and Fuzzy Theory to a Selection and Recommendation System for Web Advertisement Delivery In Consideration of the Time Effect', WSEAS TRANSACTIONS on INFORMATION SCIENCE and APPLICATIONS ISSN: 1790-0832 Issue 1, Volume 7, January 2010.
  2. Liangliang Cao, Jiebo Luo, Andrew Gallagher, Xin Jin†, Jiawei Han† and Thomas S. Huang, 'A Worldwide Tourism Recommendation System Based on Retagged web Photos', 978-1-4244-4296-6/10/$25. 00 ©2010 IEEE.
  3. Deng-Neng Chen a, Paul Jen-Hwa Hu b, Ya-Ru Kuo c, Ting-Peng Liang, 'A Web-based personalized recommendation system for mobile phone selection: Design, implementation, and evaluation', Expert Systems with Applications (2010), doi:10. 1016/j. eswa. 2010. 05. 066.
  4. F. Ricci et al. (eds. ), 'Recommender Systems Handbook', DOI 10. 1007/978-0-387-85820-3_1, © Springer Science Business Media, LLC 2011.
  5. Edward Rolando Nuñez-Valdez, Juan Manuel Cueva-Lovelle, Oscar Sanjuan, Carlos E. Montenegro-Marin2,Guillermo Infante Hernandez, 'Social Voting Techniques: A Comparison of the Methods Used for Explicit Feedback in Recommendation Systems', International Journal of Artificial Intelligence and Interactive Multimedia, Vol. 1, No. 4.
  6. Zibin Zheng, Hao Ma, Michael R. Lyu, and Irwin King, 'WSRec: A Collaborative Filtering Based Web Service Recommender System' 2009 IEEE International Conference on Web Services.
  7. Aliaksandr Birukou, Enrico Blanzieri PaoloGiorgini, 'Implicit: a multi-agent recommendation system for web search' Auto Agent Multi-Agent Syst (2012) 24:141–174 DOI 10. 1007/s10458-010-9148-z © Springer.
  8. Juan Martinez-Romo, Lourdes Araujo,' Updating broken web links: An automatic recommendation system' Information Processing and Management 48 (2012) 183–203 doi:10. 1016/j. ipm. 2011. 03. 006.
  9. Nizar R. Mabroukeh "SemAware: An Ontology-Based Web Recommendation System" (2011). Electronic Theses and Dissertations. Paper 415.
  10. Burke, R. : Hybrid web recommender systems. In: The Adaptive Web, pp. 377–408. Springer Berlin/ Heidelberg (2007)
  11. Bamshad Mobasher , Web Usage Mining
  12. Jaideep Shrivastava, Robert Cooley, Mukund Deshpande, PangNing Tan "Web Usage Mining: Discovery and Applications of Usage Patterns from Web Data" Volume 1 ACM, SIGKDD Jan 2000.
  13. C. P. Sumathi,R. Padmaja Valli,T. Santhanam "Automatic Recommendation of Web Pages in Web Usage Mining" ISSN:0975-3397 Vol, 02,No. 09, IJCS E 2010
Index Terms

Computer Science
Information Sciences

Keywords

Recommendation System Web Usage Mining