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Keyword generation for search engine advertising is an important problem for sponsored search or paid-placement advertising. A recent strategy in this area is bidding on nonobvious yet relevant words, which are economically more viable. Targeting many such nonobvious words lowers the advertising cost, while delivering
particular category. Search is truly ``local'' in the sense that keyword relevance is not global, but specific to the category. In contrast to using a search engine, users can guide the exploration engine with relevance feedback alone without entering keywords.
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
called SAFE (search with active feedback). SAFE uses the concept of balanced tree to provide users extra keywords for feedback. These keywords can guide users to have a proper feedback in further searching. The proposed method can help information retrieval applications (not only Web but also desktop) to speed their
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.