A Survey on Web Search Results Personalization

Authors

  • Thomas B PG Scholar, Asst. Professor Department of CSE Vimal Jyothi Engieering College
  • Jose JP Assisstant Professor, Department of CSE Vimal Jyothi Engieering College

Keywords:

Data mining, Information retrieval, Personalized web search, Search queries, User profile, User model

Abstract

Web is a huge information repository covering almost every topic, in which a human user could be interested. As the size and richness of information on the web increases, diversity and complexity of the tasks users tries to perform also increases. With the overwhelming volume of information on the web, the task of finding relevant information related to a specific query or topic is becoming increasingly difficult. Now a day’s commonly used task on internet is web search. User gets variety of related information for their queries. To provide more relevant and effective results to user, Personalization technique is used. Personalized web search refer to search information that is tailored specifically to a person’s interests by incorporating information about query provided. Two general types of approaches to personalizing search results are modifying user’s query and re-ranking search results. Several personalized web search techniques based on web contents, web link structure, browsing history, user profiles and user queries. This paper is to represent survey on various techniques of personalization.

References

Ji-Rong Wen, Zhicheng Dou, Ruihus Song, “Personalized Web Search”, Microsoft Research Asia, Beijing, China, 2009.

M Speretta and S Gauch , "Personalized Search Based on User Search Histories", Proceeding Of International Conference on Web Intelligence, pp. 622-628,2005.

K. W. Leung, D.L.Lee, and W. Lee, Pmse: A personalized mobile search engine, IEEE Transactions on Knowledge and Data Engineering, vol. 25, 2013.

Sharma A.K, Aggarwal, and Neelam Gupta, Web search result optimization by mining the search engine query logs, Methods and

Models in Computer Science (ICM2CS), 2010 International Conference on, IEEE, 2010, pp. 39–45.

Hang Cui, Ji-Rong Wen, Jian-Yun Nie, and Wei-Ying Ma, Query expansion by mining user logs, IEEE Transactions on Knowledge and Data Engineering,vol. 15, 2003.

J. Lai and B. Soh, “Personalized Web search results with Profile comparisons,” Third International Conference on Information Technology and Applications (ICITA 2005), Vol. 1, Pp. 573–576, 2005.

B. Smyth, “A Community-Based Approach to Personalizing Web Search,” IEEE Journals, Computer, Vol. 40, No. 8, Pp. 42 –50, 2007.

M. Kutub, R. Prachetaa and M. Bedekar, “User Web Search Behaviour,” 3rd International Conference on Emerging Trends in Engineering and Technology (ICETET), Pp. 549 –554, 2010.

Xuwei Pan, Zhengcheng Wang and Xinjian Gu, “Context-Based Adaptive Personalized Web Search for Improving Information Retrieval Effectiveness,” International Conference on Wireless Communications, Networking and Mobile Computing, Pp. 5427 – 5430, 2007.

Downloads

Published

2024-02-26

How to Cite

Thomas, B., & Jose, J. P. (2024). A Survey on Web Search Results Personalization. COMPUSOFT: An International Journal of Advanced Computer Technology, 4(03), 1582–1584. Retrieved from https://ijact.in/index.php/j/article/view/274

Issue

Section

Review Article

Similar Articles

<< < 16 17 18 19 20 21 22 23 24 25 > >> 

You may also start an advanced similarity search for this article.