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Search Query Recommendations in Web Information Retrieval Using Query Logs
Abstract
Web is the largest and voluminous data source in the world. The inconceivable boom of information available in the web simultaneously throws the challenge of retrieving the precise and appropriate information at the time of need. The unpredictable amount of web information available becomes a menace of experiencing ambiguity in the web search. In this scenario, Search engine retrieves significant information from the web, based on the query term given by the user. The search queries given by the user are always short and ambiguous and the queries may not produce the appropriate results. The retrieved result may not be relevant all the time. At times irrelevant and redundant results are also retrieved because of the short and ambiguous query keywords. Query Recommendation is a technique to provide the alternate queries as a substitute of the input query to the user to frame the queries in future. A methodology was framed to identify the similar queries and they are clustered; this cluster contains the similar queries which are used to provide the recommendations.
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