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In this paper, we define and study a novel problem which is referred to as Community Question Grouping (CQG). Online QA services such as Yahoo! Answers contain large archives of community questions which are posted by users. Community Question Grouping is primarily concerned with grouping a collection of community questions into predefined categories. We first investigate the effectiveness of two...
It is well known that Web users create links with different intentions. However, a key question, which is not well studied, is how to categorize the links and how to quantify the strength of the influence of a Web page on another if there is a link between the two linked Web pages. In this paper, we focus on the problem of link semantics analysis, and propose a novel supervised learning approach to...
This paper is concerned with the problem of expertise search in a time-varying social network. Previous research work on expertise search, aiming at finding the most important/authoritative objects, usually ignores an important factor - temporal information, which reveals a huge amount of information contained in large document collections. Many real-world applications, for example reviewers matching...
With the Web content having been changed from homogeneity to heterogeneity, the recommendation becomes a more challenging issue. In this paper, we have investigated the recommendation problem on a general heterogeneous Web social network. We categorize the recommendation needs on it into two main scenarios: recommendation when a person is doing a search and recommendation when the person is browsing...
This paper addresses the issue of extraction of an academic researcher social network. By researcher social network extraction, we are aimed at finding, extracting, and fusing the 'semantic '-based profiling information of a researcher from the Web. Previously, social network extraction was often undertaken separately in an ad-hoc fashion. This paper first gives a formalization of the entire problem...
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