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With the development of the Internet, web service generates a large amount of log information, how to mine user preferred browsing paths from web log information is an important research area. Current researches mainly focus on the mining of user preferred browsing paths, however, they do not delve into the personalization of preferred paths and paths lack semantic information. To provide personalized...
Extraction of web page main text is one of the most efficient methods to improve search engine. In the traditional method, the extraction of the web page main text use the similarity of DOM sub-tree as a end condition for the DOM tree traversing, while its speed is unsatisfactory on such a complex web page structure. Thus, to raise the traverse speed and accuracy of DOM sub-tree effectively, we propose...
In our previous work [1], to improve search quality and user satisfaction by using the user's context of search we have developed a FOCS Model. In this Model, a context ontology is developed to record user's relevant context information and to help the semantic expansion of keywords. To make search results more relevant and personalized, similarity flooding algorithm is used to match context ontology...
Using the Internet for distributed graphics rendering has long been a dream of many image and animation producers. In this paper, the Alchemi and blender are combined to construct a grid-based graphics rendering system. A grid scheduling using ant colony optimization (ACO) algorithm and fuzzy reputation (FR) aggregation to improve the decision of scheduling is proposed, and a SAH-based kd-Tree used...
Grid Portal should be powered by Semantic Web technologies for improved information sharing and exchange for a community of users. This paper proposes a user semantic model to improve the semantic description of grid portal.
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