CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

A Survey on Techniques for Personalization of Web Search

by Himani Arya, Jaytrilok Choudhary, Deepak Singh Tomar
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 94 - Number 18
Year of Publication: 2014
Authors: Himani Arya, Jaytrilok Choudhary, Deepak Singh Tomar
10.5120/16462-6192

Himani Arya, Jaytrilok Choudhary, Deepak Singh Tomar . A Survey on Techniques for Personalization of Web Search. International Journal of Computer Applications. 94, 18 ( May 2014), 36-41. DOI=10.5120/16462-6192

@article{ 10.5120/16462-6192,
author = { Himani Arya, Jaytrilok Choudhary, Deepak Singh Tomar },
title = { A Survey on Techniques for Personalization of Web Search },
journal = { International Journal of Computer Applications },
issue_date = { May 2014 },
volume = { 94 },
number = { 18 },
month = { May },
year = { 2014 },
issn = { 0975-8887 },
pages = { 36-41 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume94/number18/16462-6192/ },
doi = { 10.5120/16462-6192 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:18:02.624633+05:30
%A Himani Arya
%A Jaytrilok Choudhary
%A Deepak Singh Tomar
%T A Survey on Techniques for Personalization of Web Search
%J International Journal of Computer Applications
%@ 0975-8887
%V 94
%N 18
%P 36-41
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The World Wide Web (WWW) is growing exponentially per year thereby search engine provides the low quality of search results. Thus, the users get difficulty in getting the relevant information from the obtained search results. The quality of web search results depends on the information needs of the user and the searching techniques employed in the web search systems. So, the personalization is a general need in web search now-a-days. This paper includes the review of various approaches towards personalization. The approaches include hybrid profiling, personalized click model, ontology based user profiles and fuzzy theory for personalization.

References
  1. Eirinaki, M. , Mavroeidis, D. , Tsatsaronis, G. and Vazirgiannis, M. 2006. Introduction to Semantics in Web Personalization: the Role of Ontologies. EWMF/KDO5.
  2. Silverstein, C. , Marais, H. , Henzinger, M. and Moricz, M. 2009. Analysis of a very large web search engine query log . SIGIR Forum, 33(1):6–12.
  3. Jansen, B. J. , Spink, A. and Saracevic, T. 2000. Real life, real users, and real needs: a study and analysis of user queries on the web. Information Processing and Management, 36(2):207–227.
  4. Krovetz, R. and Croft, W. B. 1992. Lexical ambiguity and information retrieval. Information Systems, 10(2):115–141.
  5. Cronen-Townsend, S. and Croft, W. B. 2002. Quantifying query ambiguity. In Proceedings of HLT '02, pages 94–98.
  6. Elbassuoni, S. , Luxenburger, J. and Weikum, G. 2007. Adaptive Personalization of Web Search, WISI Workshop.
  7. Susan Gauch, Jason Chaffee, Alexander Pretschner. 2003. Ontology-Based User Profiles for Search and Browsing. The OBIWAN Project.
  8. Feng Qiu, Junghoo Cho. 2006. Automatic identification of user interest for personalized search. WWW: 727-736.
  9. Maimon, Oded; Rokach, Lior (Eds. ). 2008. Soft Computing for Knowledge Discovery and Data Mining. Hardcover Springer Science and Business Media, Inc. XIV, 434 p. 74 illus.
  10. Pretschner, A. and Gauch, S. 1999. Ontology Based Personalized Search. Proc. 11th IEEE Int'l Conf. Tools with Artificial Intelligence (ICTAI '99), pp. 391-398.
  11. Chirita, P. -A. , Nejdl, W. , Paiu, R. and Kohlschu C. ¨ tter. 2005. Using ODP Metadata to Personalize Search. Proc. 28th Ann. Int'l ACM SIGIR Conf. Research and Development in Information Retrieval (SIGIR '05), pp. 178-185.
  12. Liu, F. , Yu, C. and Meng, W. . 2002. Personalized Web Search by Mapping User Queries to Categories. Proc. ACM Int'l Conf. Information and Knowledge Management (CIKM '02), pp. 558-565.
  13. Liu, F. , Yu, C. and Meng, W. Jan. 2004. Personalized Web Search for Improving Retrieval Effectiveness. IEEE Trans. Knowledge and Data Eng. , vol. 16, no. 1, pp. 28-40.
  14. Shen, X. , Tan, B. and Zhai, C. 2005. Implicit User Modeling for Personalized Search Proc. ACM Int'l Conf. Information and Knowledge Management (CIKM '05), pp. 824-831.
  15. Tan, B. , Shen, X. and Zhai, C. 2006. Mining Long-Term Search History to Improve Search Accuracy. Proc. 12fth ACM SIGKDD Int'l Conf. Knowledge Discovery and Data Mining (KDD '06), pp. 718-723.
  16. Teevan, J. , Dumais, S. T. , and Horvitz, E. 2005. Personalizing Search via Automated Analysis of Interests and Activities. Proc. 28th Ann. Int'l ACM SIGIR Conf. Research and Development in Information Retrieval (SIGIR '05), pp. 449-456.
  17. Sugiyama, K. , Hatano, K. and Yoshikawa, M. 2004. Adaptive Web Search Based on User Profile Constructed without Any Effort from Users. Proc. 13th Int'l World Wide Web Conf. (WWW '04), pp. 675-684.
  18. Chirita, P. A. , Firan, C. and Nejdl, W. 2006. Summarizing Local Context to Personalize Global Web Search. Proc. ACM Int'l Conf. Information and Knowledge Management (CIKM).
  19. Page, L. , Brin, S. , Motwani, R. and Winograd, T. 1998 . The PageRank Citation Ranking: Bringing Order to the Web. Technical report, Computer Science Dept. , Stanford Univ.
  20. Sun, J. -T. , Zeng, H. -J. , Liu, H. , Lu, Y. and Chen, Z. 2005. CubeSVD: A Novel Approach to Personalized Web Search. Proc. 14th Int'l World Wide Web Conf. (WWW '05), pp. 382-390.
  21. Shen, S. , Hu, B. , Chen, W. and Yang, Q. 2012. Personalized Click Model through Collaborative Filtering. WSDM'12, February 8–12, Seattle, Washingtion, USA.
  22. Mohammad. S Norouzzadeh, Ayoub Bagheri, Mohammad. H Saraee. 2009. Web Search Personalization: A Fuzzy Adaptive Approach. IEEE.
  23. Jackson, P. , Moulinier, I. 2002. Natural Language Processing for Online Applications, John Benjamins Publishing Company Amsterdam /Philadelphia.
  24. Menczer, F. 2003. Complementing search engines with online web mining agents Decision Support Systems Volume 35 , Issue2 (May)
  25. Jayanthi . J, Jayakumar, K. S. , Surendran, S. 2011. Generation of Ontology Based User Profiles for Personalized Web Search. IEEE
  26. Pannu, M. , Anane, R. and James, A. 2013. Hybrid Profiling in Information Retrieval. Proceedings of the IEEE 17th International Conference on Computer Supported Cooperative Work in Design.
  27. Bedekar, M. , Deshpande, B. and Joshi, R. 2008. Web Search Personalization by User Profiling. First International Conference on Emerging Trends in Engineering and Technology, IEEE.
  28. Pal, A. , Tomar, D. S. , and Shrivastava S. C. 2009, Effective focused crawling based on content and link structure analysis. International Journal of Computer Science and Information Security, Vol. 2, No. 1, June 2009
Index Terms

Computer Science
Information Sciences

Keywords

Personalization web search user profile ontology.

Powered by PhDFocusTM