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keywords from the Web pages. The system first identifies the section of the Web page that contains the multimedia file to be extracted and then extracts it by using clustering techniques and other tools of statistical origin. Experimental results on real-world image sharing Web sites are presented and discussed in this paper
In this work, we compare various text-based pornographic Web filtering techniques. The techniques include blacklist and keyword blocking. The technique called SV is modified to extract a representative feature vector. Each test Web pagepsilas feature is extracted and gathered as a vector. The vector is then summarized
The World Wide Web has become a huge repository of data of interest for a variety of application domains. However, the same features that have made the Web so useful and popular also impose important restrictions on the way the data it contains can be manipulated. Particularly, in the traditional Web scenario, there is an inherent difficulty in gaining access to data that is implicitly present in...
semantic net which can be applied to build personalized search engine and tested with single query keyword and multi ones by three different calculating policies. The test results show that it can affect the sort of pages. The personalized search based on vocabulary semantic net improves the quality of search results greatly.
This paper explores a unique way in which the thinking algorithm adds an extra logical substrate to a Web search query using artificial intelligence. Instead of just going after keyword searching, the algorithm tries to assess the motives of the user behind entering a query. The algorithm tries to find the reasons as
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.
Many e-commerce web sites such as online book retailers or specialized information hubs such as online movie databases make use of recommendation systems where users are directed to items of interests based on past user interactions. While keyword based approaches are naive and do not take content or context into
Applying automatic summarization to search engine can make it easier for users to find out the content of the Web page. In this paper, the results of search engine are analyzed. On the basis of query keywords expansion, we propose a new summary approach which calculates the sentence weight utilizing the information of
The topic correlation judgment algorithm based on weight and threshold is proposed as for the problem that Web pages which are closely related to the given topic may be neglected due to not all keywords given by the users in the pages when users retrieve the topic they desire on the Internet. The algorithm retrieves
-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
the tokens or between the checksums indicates a same origin violation. To reduce the scheme's performance ovrhead, this matching is performed only when a request originated from a page with no submission form has suspicious keywords. We analyze the protection potential, security, and performance overhead of our scheme.
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