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Traditional Web search engines do not use the images in the HTML pages to find relevant documents for a given query. Instead, they typically operate by computing a measure of agreement between the keywords provided by the user and only the text portion of each page. In this paper we study whether the content
order to collect and index only related Web documents. As requests can be insufficient to express sensitive and specific needs, the user's information needs are specified using user's interests represented by DBPedia resources [1] and keywords, both extracted from Web pages provided by the user. A series of experiments
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.