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effective in terms of better precision. Proposed method makes use of keyword clusters for query expansion. Visual features are used for detecting duplicate images in proposed method. Removing duplicates leads to further improve in precision and recall in retrieval result
user aims, as query without proper intent processing retrieves irrelevant information pattern discovery has ability to solve in limitations of keyword and image disambiguates with phrase learning ie, pattern discovery. Today's search machines are based on ranking model eliminating Boolean retrieval constraint and boosting
improving user's goals and needs. The content based ranking is based on contents and keywords rather than link structure and keywords provided by search engines. Search engines results are retrieved based on the user query. Also, usage based ranking algorithm consider the past user navigation pattern and analyze the behavior
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.