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Technology develops rapidly and information floods. In the information explosion era, what people lack is not the scale of information but how to obtain the needed information quickly and accurately. Personalized search and service emerges. And the key problem is to make clear the needs of the users. In this paper, we combined user interest and collaborative filtering to reorder the search results...
In order to improve detection efficiency of on-line web news stream, we propose a new method to accomplish detection task with window-adding, named entity recognition and suffix tree clustering. In our method, we make full use of informative elements of news stream(such as date, place, person and so on) to help detection process, and this method decreases text similarity computation greatly. Experimental...
Web public sentiment reflects the people's attitude to society and politics, it's important to identify the web sensitive information correctly to build a harmonious network. Those existing monitoring systems relied on large common category libraries to do accurate identification, yet faced with the new and unknown events which is not recorded in the category libraries did not do in-depth research...
Traditional topic extraction methods only take text document into account and ignore user's contribution in the process of extraction. But it occurs to us that the browsing status of users in one topic plays a more important role in indicating whether this topic is currently hot than the properties of text document. So in this paper, we bring forward a method of extracting ??Chinese hot topic?? from...
Public sentiment reflects the people's attitude to society and politics. Since Web public sentiment sees most similarity with social network, in this paper we use threelayers social network to analyze Web public sentiment, and we use relative centrality and potential center to find the key node and we propose a new solution for analyzing and predicting the public sentiment situation by applying the...
Web document classification is the process of grouping web documents into one or more predefined categories based on their content. It is an important component of web monitor system that can assist people to reduce the dissemination of harmful information. This paper proposes a combined approach for building a decision tree with the multilayer neural network as its categorically value function, and...
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