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In this paper, we propose a structured peer-to-peer (P2P) search approach in distributed hash table (DHT) based decentralized systems using multiple keywords. Using multiple keywords allows users to describe file content more accurately and improves retrieval precision, which is important from the userpsilas
Information search is one of the most common activities over Internet. Several search engines crawl the web round the clock and fetch useful information according to users' interest. To date, most of these search engines exploit the keyword based searching procedure which might be inappropriate for some naive users
In recent years, especially audiovisual media have become the predominant media of the internet. To enable content based video retrieval, high quality textual metadata have to be provided that describe the content. Keyword-based search in general is particularly applicable if the searcher really knows what she is
efforts when studying a bug report, the proposed prototype also provides an extractive summary visualization of each bug report. In this research, it is shown that our proposed prototype performs better in terms of precision, recall, and F-measure than a baseline approach that uses time-sensitive keyword extraction.
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.