Personalized Web Search Techniques – A Review

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Ms. T. Sathiyabama
Ms. T. Sathiyabama
σ
Dr. K. Vivekanandan
Dr. K. Vivekanandan
α Bharathiar University Bharathiar University

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Personalized Web Search Techniques – A Review

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Abstract

Searching is one of the commonly used task on the Internet. Search engines are the basic tool of the internet, from which related information can be collected according to the specified query or keyword given by the user, and are extremely popular for recurrently used sites. With the remarkable development of the World Wide Web (WWW), the information search has grown to be a major business segment of a global, competitive and money-making market. A perfect search engine is the one which should travel through all the web pages inthe WWW and should list the related information based on the given user keyword. In spite of the recent developments on web search technologies, there are still many conditions in which search engine users obtains the non-relevant search results from the search engines. A personalized Web search has various levels of efficiency for different users, queries, and search contexts. Even though personalized search has been a major research area for many years and many personalization approaches have been examined, it is still uncertain whether personalization is always significant on different queries for diverse users and under different search contexts. This paper focusses on the survey of many efficient personalized Web search approaches which were proposed by many authors.

References

16 Cites in Article
  1. Fang Liu,C Yu,Weiyi Meng (2004). Personalized web search for improving retrieval effectiveness.
  2. Zhengcheng Xuwei Pan,Xinjian Wang,Gu (2007). Context-Based Adaptive Personalized Web Search for Improving Information Retrieval Effectiveness.
  3. Kyung-Joong Kim,Sung-Bae Cho (2001). A personalized Web search engine using fuzzy concept network with link structure.
  4. Chen Ding,J Patra,Fu Cheng,Peng (2005). Personalized Web search with self-organizing map.
  5. C Biancalana,A Micarelli (2009). Social Tagging in Query Expansion: A New Way for Personalized Web Search.
  6. K,-T Leung,D Lee,Wang-Chien Lee (2010). Personalized Web search with location preferences.
  7. J Lai,B Soh (2005). Personalized Web search results with profile comparisons.
  8. Barry Smyth (2007). A Community-Based Approach to Personalizing Web Search.
  9. O Shafiq,R Alhajj,J Rokne (2010). Community Aware Personalized Web Search.
  10. Han-Joon Kim,Sungjick Lee,Byungjeong Lee,Sooyong Kang (2010). Building Concept Network-Based User Profile for Personalized Web Search.
  11. Yan Chen,Hai,Long Hou,Yan-Qing Zhang (2008). A personalized contextdependent Web search agent using Semantic Trees.
  12. Wen-Chih Peng,Yu-Chin Lin (2006). Ranking Web Search Results from Personalized Perspective.
  13. Murtuza Kutub,R Prachetaa,Mangesh Bedekar (2010). User Web Search Behaviour.
  14. B Arzanian,F Akhlaghian,P Moradi (2010). A Multi-Agent Based Personalized Meta-Search Engine Using Automatic Fuzzy Concept Networks.
  15. W Dik Lun Lee,K Ng,-T Leung (2008). Personalized Concept-Based Clustering of Search Engine Queries.
  16. F Akhlaghian,B Arzanian,P Moradi (2010). A Personalized Search Engine Using Ontology-Based Fuzzy Concept Networks.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Ms. T. Sathiyabama. 1970. \u201cPersonalized Web Search Techniques – A Review\u201d. Unknown Journal GJCST Volume 11 (GJCST Volume 11 Issue 12): .

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GJCST Volume 11 Issue 12
Pg. 69- 75
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v1.2

Issue date

July 6, 2011

Language
en
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Searching is one of the commonly used task on the Internet. Search engines are the basic tool of the internet, from which related information can be collected according to the specified query or keyword given by the user, and are extremely popular for recurrently used sites. With the remarkable development of the World Wide Web (WWW), the information search has grown to be a major business segment of a global, competitive and money-making market. A perfect search engine is the one which should travel through all the web pages inthe WWW and should list the related information based on the given user keyword. In spite of the recent developments on web search technologies, there are still many conditions in which search engine users obtains the non-relevant search results from the search engines. A personalized Web search has various levels of efficiency for different users, queries, and search contexts. Even though personalized search has been a major research area for many years and many personalization approaches have been examined, it is still uncertain whether personalization is always significant on different queries for diverse users and under different search contexts. This paper focusses on the survey of many efficient personalized Web search approaches which were proposed by many authors.

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Personalized Web Search Techniques – A Review

Ms. T. Sathiyabama
Ms. T. Sathiyabama Bharathiar University
Dr. K. Vivekanandan
Dr. K. Vivekanandan

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