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Link Analysis plays an important role in Web Information Retrieval. Most of the existing link analysis algorithms use link as the main factor to determine the importance of a Web page, which can not reflect complicated relationships among Web pages. In this paper, we propose G-HITS (Gravitation-Based HITS), which condenses useful information associate to a Web as its "mass ", and reflects...
The HITS algorithm is a very popular and effective algorithm to rank documents based on the link information among a set of documents. However, it assigns every link with the same weight which results in topic drift. In this paper, we generalize the similarity of web pages and propose a query-induced similarity describing how a webpage is similar to another on a query topic. Then, we provide a new...
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