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-processing of Web search results have been extensively studied to help user effectively obtain useful information. This paper has basically three parts. First part is the review study on how the keyword is expanded through truncation or wildcards (which is a little known feature but one of the most powerful one) by using
this job fairly well, but does not perform as well when the feedback information is only about non-relevant webpages. In such an unfavorable circumstance the legwork mechanism assists the suggesting module by handing over the relevant information after finding one or more webpages, containing at least one clue keyword
taken into account when indexing documents and when performing searching. Utilizing this approach, it is possible to use a natural language to express user queries. In many cases, this way is more usual for users to describe their information needs compared to the keyword style. The factoid question answering task is one
Summary form only given. In this demonstration we present a system that guides a user's information search (or knowledge discovery) by displaying, in a coordinated manner, many valuable keywords having important semantic relations to the user's topic of interest. For example, the system contains large-scale databases
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.