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An Effective Analysis of Search Goals by Mapping Pseudo Documents

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Different user have different search goals when they submit query to the search engine.These query are analyzed to get revelant information.This paper describes a novel approach to conclude the user search goals by analyzing the query logs.First is to discover different search goals by clustering the feedback sessions Second is to generate pseudo documents.Finally “Classified Average Precision” used to evaluate the performance to conclude user search goals.
Keywords:User search goals, feedback sessions, pseudodocuments, classified average precision.
IN web search ,queries are submitted to search engines to represent the information which is needed by users. Sometimes queries may not exactly represent what a user needs.For example, when the query “the sun” is submitted to a search engine, some users want to locate the homepage of a United Kingdom newspaper, while some others want to learn the natural knowledge of the sun..Therefore, it is necessary to capture different user search goals for information retrieval.Results that are obtain from search engine after query submission should satisfies his/her needs.User search goals can be considered as the clusters of information needs for a query. The inference and analysis of user search goals can have a lot of advantages.Some advantages are ,First restructuring web search results according to user search goals by grouping the search results with the same search goal; thus, users can easily find what they want. Second user search goals represented by some keywords.Finally the distributions of user search goals can also be useful in applications such as reranking web search results. Due to its advantages, many works about user search goals analysis have been investigated. They can be described as three classes: query classification, search result reorganization, and session boundary detection. In the first class, users attempt to infer their goals and intents by predefining some specific classes and performing query classification accordingly.In the second class, people try to restructure web search results. In the third class user aim to detect session boundaries, that is user identifies whether a pair of queries belongs to the same goal or not
Automatic Identification of User Goals in Web Search:
Based on the Web query assigned by the user’s analysis the goal, the goal identification is used to improve quality of search results. In existing system with use the manual query log investigation to identify the goals. In proposed system use automatic goal identification process. The humansubject study strongly indicates the automatic query goal identification. It can use two tasks like as past user click behavior and anchor link distribution for goal identification combining these two tasks can identify 90% goal accurately.


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