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(e.g., use of phrases), user‐originated keywords, shorter queries, and omitting key keywords from the queries. Searchers were easily driven away from the top‐ranked target pages by lower‐ranked pages with title tags matching the queries. Some searchers created consistently longer queries than other searchers, regardless of
information. This study then investigates how different cognitive styles of the learners influence the use of DLASH in their image browsing. The preliminary results show that the learners perform better when using DLASH based image browsing than using the Flickr one. In addition, cognitive styles have more effects on image
of search results until they can find all the content for which they were actually looking. In order to address this limitation, we suggest an algorithm to cluster search results usingkeyword similarity. Clustering search results from YouTube are accomplished by using the Markov clustering algorithm, which helps users
multilingual information where backend will be English database and front-end uses local languages like Hindi, Marathi or Gujrathi. Our system provides an interface to enter a keyword in local language, the keyword will be parsed, query will be formed and display the result in local language. We had developed an efficient
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 keywordstyle. The factoid question answering task is one
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.