Volume 7, Issue 1, August 2014, Pages 19–27
D. Kavitha1, K.M. Subramanian2, and Dr. K. Venkatachalam3
1 Computer Science and Engineering, Erode Sengunthar Engineering College, Anna University Chennai, Tamilnadu, India
2 Computer Science and Engineering, Erode Sengunthar Engineering College, Anna University Chennai, Tamilnadu, India
3 Electrical Communication and Engineering, Vellalar College of Engineering and Technology, Anna University Chennai, Tamilnadu, India
Original language: English
Copyright © 2014 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Search engine is one of the most important applications in today's internet. Users collect required information through the search engine in the internet. Analyzing user search goals are essential to provide best result for which the user looks for in the internet. In existing system, various techniques such as Feedback session, goal text, Pseudo-documents restructuring search result based on term frequency are used to infer user search goals. Existing search results based on term frequency (keywords) which may display unwanted results. In proposed system "Classified Average Precision (CAP)" algorithm is used to understand user search goals efficiently and evaluate the performance of inferring user search goals. Phrase search is performed in proposed system instead of keyword search. Initially Noun Phrase of user query is framed using natural language processing. Framed noun phrases are searched in webpages available in Internet. Term frequency of each noun phrase is found in Pseudo document i.e., finding number of webpages a particular noun phrase is occurred. Based on term frequency, place the webpage/document which contain only the above noun phrases at top link. Here user needs is highlighted and provides a user friendly search engine. Performance of inferring user search goal is evaluated using a new CAP algorithm.
Author Keywords: Classified Average Precision (Cap), User Search, Feedback Session.
D. Kavitha1, K.M. Subramanian2, and Dr. K. Venkatachalam3
1 Computer Science and Engineering, Erode Sengunthar Engineering College, Anna University Chennai, Tamilnadu, India
2 Computer Science and Engineering, Erode Sengunthar Engineering College, Anna University Chennai, Tamilnadu, India
3 Electrical Communication and Engineering, Vellalar College of Engineering and Technology, Anna University Chennai, Tamilnadu, India
Original language: English
Copyright © 2014 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
Search engine is one of the most important applications in today's internet. Users collect required information through the search engine in the internet. Analyzing user search goals are essential to provide best result for which the user looks for in the internet. In existing system, various techniques such as Feedback session, goal text, Pseudo-documents restructuring search result based on term frequency are used to infer user search goals. Existing search results based on term frequency (keywords) which may display unwanted results. In proposed system "Classified Average Precision (CAP)" algorithm is used to understand user search goals efficiently and evaluate the performance of inferring user search goals. Phrase search is performed in proposed system instead of keyword search. Initially Noun Phrase of user query is framed using natural language processing. Framed noun phrases are searched in webpages available in Internet. Term frequency of each noun phrase is found in Pseudo document i.e., finding number of webpages a particular noun phrase is occurred. Based on term frequency, place the webpage/document which contain only the above noun phrases at top link. Here user needs is highlighted and provides a user friendly search engine. Performance of inferring user search goal is evaluated using a new CAP algorithm.
Author Keywords: Classified Average Precision (Cap), User Search, Feedback Session.
How to Cite this Article
D. Kavitha, K.M. Subramanian, and Dr. K. Venkatachalam, “IMPROVE THE PERFORMANCE OF USER SEARCH GOALS USING FEEDBACK SESSION,” International Journal of Innovation and Scientific Research, vol. 7, no. 1, pp. 19–27, August 2014.
