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In a real world, it is often in a group setting that sensitive information has to be stored in databases of a server. Although personal information does not need to be stored in a server, the secret information shared by group members is likely to be stored there. The shared sensitive information requires more security and privacy protection. To our best knowledge, there is no paper which deals with...
We propose a new technique for the efficient search and navigation in XML documents and streams. This technique takes string matching algorithms designed for efficient keyword search in flat strings into the second dimension, to navigate in tree structured data. We consider the important XML data management task of
Given a user keyword query, current Web search engines return a list of individual Web pages ranked by their "goodness" with respect to the query. Thus, the basic unit for search and retrieval is an individual page, even though information on a topic is often spread across multiple pages. This degrades the quality of
extends the VSM based on keyword, it consider that the keywords in the page have different weight in the different position;Integrating the principles of Page-Rank, link analysis also considers that anchor text and website of the web page relevant with the theme.
The World Wide Web is growing at a rate of about a million pages per day, making it tougher for search engines to extract relevant information for its users. Earlier Search Engines used simple indexing techniques to search for keywords in websites and gave more weightage to pages with higher frequency of keyword
prefer to eat, approximated budget for each person and few other defined parameters as searching keyword. While searching, the system will fetch the entries from the database according to user defined parameters, convert each item's metadata to fuzzy parameters and pass the list to a fuzzy controller. Then the controller
Traditional behavior analysis based on the keywords or server log is so simple that it is difficult to meet the individual requirements of the user information search. This paper introduces the Multi-agent intelligent technology into four kinds of search behavior analysis, including the user search keywords, the
Users often fail to find the right keywords to precisely describe their queries in the information seeking process. Techniques such as user intention predictions and personalized recommendations are designed to help the users figure out how to formalize their queries. In this work, we aim to help users identify their
Through the analysis of the information on the contents of the document which contained in title, abstract and keywords, find out which documents are more relativity with user's retrieval expectation, this paper adopted "document retrieval expected value" as be the indicator, builds the mathematical model for it, and
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