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providing the best search logs to the user using semantic ranking algorithm

VUTUKURI HANUMATH SUSHMA,

Published in International Journal of Advanced Research in Computer Science Engineering and Information Technology

ISSN: 2321-3337          Impact Factor:1.521         Volume:6         Issue:3         Year: 20 December,2016         Pages:1182-1185

International Journal of Advanced Research in Computer Science Engineering and Information Technology

Abstract

Searching the weblogs has been studied at query level or session level. The session is a collection of tasks made by the user while searching the query .By doing this, it cannot easily find out whether the task in a session belongs to a particular thing or not and also about the searching behavior of the user. To know the searching behavior it uses tasktrial. For predicting the user satisfaction, it uses the ranking algorithm,and it combines with semantic search. For combining the related queries, it uses the query flow graph to group the related query. SVM and MDP are using to cluster the queries.SVM uses the classifier as a query.

Kewords

SUPPORT VECTOR MACHINE, MARKOV DECISION PROCESS.

Reference

Task Trail: An Effective Segmentation of User Search Behavior