منابع مشابه
Finding Related Hubs and Authorities
HubFinder is intended to be an algorithm for finding hubs related to an initial base set of pages. We define related as accessible via the link structure of the Web (following either in-going or out-going links). When searching for related hubs, one would probably need to apply the Kelinberg extension several times, because if one starts from a poor hub/authorithy, the representative pages migh...
متن کاملRanking hubs and authorities using matrix functions
The notions of subgraph centrality and communicability, based on the exponential of the adjacency matrix of the underlying graph, have been effectively used in the analysis of undirected networks. In this paper we propose an extension of these measures to directed networks, and we apply them to the problem of ranking hubs and authorities. The extension is achieved by bipartization, i.e., the di...
متن کاملLink Analysis: Hubs and Authorities on the World Wide Web
Ranking the tens of thousands of retrieved webpages for a user query on a Web search engine such that the most informative webpages are on the top is a key information retrieval technology. A popular ranking algorithm is the HITS algorithm of Kleinberg. It explores the reinforcing interplay between authority and hub webpages on a particular topic by taking into account the structure of the web ...
متن کاملPersonalized Web Search Using Trust Based Hubs And Authorities
In this paper method has been proposed to improve the precision of Personalized Web Search (PWS) using Trust based Hubs and Authorities(HA) where Hubs are the high quality resource pages and Authorities are the high quality content pages in the specific topic generated using HyperlinkInduced Topic Search (HITS). The Trust is used in HITS for increasing the reliability of HITS in identifying the...
متن کاملDynamic Visualization of Hubs and Authorities During Web Search
The Information Retrieval Visualizer (IRV) is a web-based retrieval system that provides the user with dynamic visualizations of search results. It combines well-known techniques of information retrieval, including stemming, keyword matching, and cosine similarity, with the new and relatively successful hubs and authority approach for describing Web document relevance based on a document’s rela...
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ژورنال
عنوان ژورنال: ACM Computing Surveys
سال: 1999
ISSN: 0360-0300,1557-7341
DOI: 10.1145/345966.345982