Data Mining and Knowledge Engineering

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A Survey on Effective Relevance Feedback Methods for Web Information Retrieval


Affiliations
1 Nehru Arts and Science College, T.M. Palayam, Coimbatore, India
2 Department of Computer Science, Nehru Arts and Science College, T.M. Palayam, Coimbatore, India
     

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In current scenario, information retrieval is the tedious process due to its vast collection of interconnected hyperlinked documents available in the web. In general, there are several tools and search engines are available to retrieve information’s from web repositories. According to the users query, the search engines are retrieving hundreds and thousands of web links. Several contents are not useful and irrelevant to the user query. However, there are some popular search engines providing appropriate results to the user query, the user need to give the query in a proper manner. This leads to several information retrieval problems. In order to improve the retrieval efficiency, RF (Relevance Feedback) methods are introduced. The relevance feedbacks are categorized into three types, one is implicit, explicit and pseudo feedback. With the use of Relevance feedback and user query management, the information retrieval can be performed effectively. This paper provides a detailed summary of relevance feedback techniques and gives several future directions.

Keywords

Data Mining, Information’s Retrieval, Relevance Feedback.
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Abstract Views: 196

PDF Views: 4




  • A Survey on Effective Relevance Feedback Methods for Web Information Retrieval

Abstract Views: 196  |  PDF Views: 4

Authors

R. Aiswarya
Nehru Arts and Science College, T.M. Palayam, Coimbatore, India
D. Vimal Kumar
Department of Computer Science, Nehru Arts and Science College, T.M. Palayam, Coimbatore, India

Abstract


In current scenario, information retrieval is the tedious process due to its vast collection of interconnected hyperlinked documents available in the web. In general, there are several tools and search engines are available to retrieve information’s from web repositories. According to the users query, the search engines are retrieving hundreds and thousands of web links. Several contents are not useful and irrelevant to the user query. However, there are some popular search engines providing appropriate results to the user query, the user need to give the query in a proper manner. This leads to several information retrieval problems. In order to improve the retrieval efficiency, RF (Relevance Feedback) methods are introduced. The relevance feedbacks are categorized into three types, one is implicit, explicit and pseudo feedback. With the use of Relevance feedback and user query management, the information retrieval can be performed effectively. This paper provides a detailed summary of relevance feedback techniques and gives several future directions.

Keywords


Data Mining, Information’s Retrieval, Relevance Feedback.

References