CFP last date
22 April 2024
Reseach Article

An Approach of Re-Ranking Search Results based on a Dynamic and Hybrid Modeling of User Profile

by Yannick U. Tchantchou Samen, Eugene C. Ezin, Charles Awono Onana
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 158 - Number 4
Year of Publication: 2017
Authors: Yannick U. Tchantchou Samen, Eugene C. Ezin, Charles Awono Onana
10.5120/ijca2017912788

Yannick U. Tchantchou Samen, Eugene C. Ezin, Charles Awono Onana . An Approach of Re-Ranking Search Results based on a Dynamic and Hybrid Modeling of User Profile. International Journal of Computer Applications. 158, 4 ( Jan 2017), 1-7. DOI=10.5120/ijca2017912788

@article{ 10.5120/ijca2017912788,
author = { Yannick U. Tchantchou Samen, Eugene C. Ezin, Charles Awono Onana },
title = { An Approach of Re-Ranking Search Results based on a Dynamic and Hybrid Modeling of User Profile },
journal = { International Journal of Computer Applications },
issue_date = { Jan 2017 },
volume = { 158 },
number = { 4 },
month = { Jan },
year = { 2017 },
issn = { 0975-8887 },
pages = { 1-7 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume158/number4/26893-2017912788/ },
doi = { 10.5120/ijca2017912788 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:03:54.013270+05:30
%A Yannick U. Tchantchou Samen
%A Eugene C. Ezin
%A Charles Awono Onana
%T An Approach of Re-Ranking Search Results based on a Dynamic and Hybrid Modeling of User Profile
%J International Journal of Computer Applications
%@ 0975-8887
%V 158
%N 4
%P 1-7
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The volume of data on the web grew in recent years. Then it becomes increasingly difficult for a user to access the right information in a short time. However, several works have been carried out with the aim of proposing algorithms to re-rank the user’s search results on the web by taking into account their profile. In this paper, we propose specific approach of re-ranking user search results based on a dynamic and hybrid modeling of user profile. Our approach takes into account the user interets identified during his browsing session and the history of his search on the web. We use a multi agent system to collect both explicitly and implicitly user data and to process this data to detect the user interets represented as ontological concepts. The experimentation of our model shows that it is able to re-rank user search results with a high accuracy than that given by the google search engine.

References
  1. Sieg, A., Mobasher, B., Burke, R., Ontological user profiles for representing context in web search, in: 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology Workshops, IEEE. pp. 91 94, 2007.
  2. Hawalah, A., Fasli, M.: A Hybrid Re-ranking Algorithm Based on Ontological User Profiles; Proc. 3rd Computer Science and Electronic Engineering Conference, 50-55, 2011.
  3. Rajpal R. K., and Rathore Y., A Novel Techinque For Ranking of Documents Using Semantic Similarity, International Journal of Computer Science and Information Technologies (IJCSIT), vol. 5, 2014.
  4. Ruofan Wang, Shan Jiang, Yan Zhang, and Min Wang, Reranking search results using semantic similarity. In Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on, volume 2, pages 10471051. IEEE, 2011.
  5. Mohammed, N.U., Doung, T.H. and Jo, G.K. Contextual Information Search Based on Ontological User Profile. ICCCI 2010, pp.490-500, 2010.
  6. Challam, V., Gauch, S., and Chandramouli, A. Contextual Search Using Ontology-Based User Profiles, Proceedings of RIAO 2007,Pittsburgh, USA, 2007.
  7. Hawalah, A., and Fasli, M. A multi-agent system using ontological user profiles for dynamic user modelling. InProceedings of the 2011 IEEE/WIC/ACM international conferences on web intelligence and intelligent agent technology (pp.430- 437), 2011.
  8. Hawalah, A., and Fasli, M. Dynamic user profiles for web personalization. Journal of Expert systems with Applications, 42, pp. 2547-2569. Doi: 10.1016/j.eswa.2014.10.032, 2015.
  9. Baeza-Yates, R. and Berthier Ribeiro-Neto. Modern Information Retrieval. AddisonWesley, 1999.
  10. Porter, M.F. An algorithm for suffix stripping, in: Sparck Jones, K., Willett, P. (Eds.), Readings in Information Retrieval. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, pp. 313 316, 1997.
  11. Daoud, M., Tamine-Lechani, L., Boughanem, M., Learning implicit user interest using ontology and search history for personnalization. Web information systems engineering- WISE 2007 workshops, vol. 4832, pp. 325-336, 2008.
  12. Li, L., Yang, Z., Wang, B., and Kitsuregawa., M. Dynamic adaptation strategies for long-term and short-term user profiles to personalize search. springer-verlag Berlin Heidelberg. pp. 228-240, 2007.
  13. Rongen P.H.H., Schroder J., Dignum F.P.M., et al. Multi agent approach to interest profiling of users. Proc. of Multi-Agen Systems and Applications IV, pp. 326 355, 2005.
  14. Pannu, M., Anane, R., James, A. Explicit user profiles in web search personalization; computer supported cooperative work in design (CSCWD), 15th international conference on, 8-10 june 2011. pp. 416-421, 2011.
  15. Pannu, M., Anane, R., James, A. Hybrid profiling in information retrieval; computer supported cooperative work in Design( CSCWD), IEEE 17th international conference on computer supported cooperative work in design, 2013.
  16. Razmerita, L., Angehrn, A., Maedche, A. Ontology-based user modeling for knowledge management systems. In: International Conference on User Modeling, pp. 213 217, 2003.
  17. Shen, X., Tom, B., Zhou, C. Implicit user modelling for personalized search. Proceeding of the 14th ACM international conference on information and knowledge management (New York) pp: 824-831, 2005.
  18. Srinvas, S. Explicit user profiles for semantic web search using XML. International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622, vol. 2
Index Terms

Computer Science
Information Sciences

Keywords

User profile Re-ranking search result ontology multi-agent system