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Common search engines, especially web-based, rely on standard keyword-based queries and matching algorithms using word frequencies, topics recentness, documents authority and/or thesauri. However, even if those systems present efficient retrieval algorithms, they are not able to lead the user into an intuitive
The clouds consisting of tags or keywords provide an alternative and often more readable navigation interface by exploiting visual features of words placed in a cloud and augmenting their information value with different font size and color. However, existing approaches for cloud navigation rely mostly on frequency of
-independent approach of extracting news stories from web pages is proposed which is based on anchor text and is applicable to most websites. Experiments show our approach performs good and is better than another approach we have found. Second, a domain-based method of representing events is proposed in which hundreds of keywords
Feature location is a human-oriented and information-intensive process. When performing feature location tasks with existing tools, developers often feel it difficult to formulate an accurate feature query (e.g., keywords) and determine the relevance of returned results. In this paper, we propose a feature location
related query strings to Web contents. Since the search queries in the community are keywords related to information and knowledge of interest within the community, this navigation reflects implicit knowledge in the community. It is useful especially for community members who are not proficient in search. Such users can
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.