Chakrabarti, S., Dom, B. E., Kumar, S. R., Raghavan, P., Rajagopalan, S., Tomkins, A., Gibson, D., and Kleinberg, J. Mining the web's link structure. Computer, 32(8):60--67, 1999. Home/Search Document Not in Database Summary Related Articles Check |
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....is simple: using the HTTP [16] protocol, web clients running on users machines request objects from web servers. Previous studies have examined many aspects of the web, including web workloads [2, 8, 15, 29] characterizing web objects [3, 11] and even modeling the hyperlink structure of the web [6, 21]. These studies suggest that most web objects are small (5 10KB) but the distribution of object sizes is heavy tailed and very large objects exist. Web objects are accessed with a Zipf popularity distribution, as are web servers. The number of web objects is enormous (in the billions) and rapidly ....
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....if it provides links to good authorities. In recent research work on link analysis of hyperlinked documents, HITS is applied to the research area of topic distillation and several kinds of link weights are involved to indicate the significance of links in hypedinked documents. In the Clever system [10], weights tuned empirically are added to distinguish same site links and others. In [3] the metrics of similarity of whole contents in linked documents are applied on link weights and the use of text surrounding the links as keyword based evidence to determine a weight for each link is proposed ....
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S. Chakrabarti, B. Dom, S. Kumar, P. Raghavan, S. Rajagopalan, A. Tomkins, D. Gibson, and J. M. Kleinberg. Mining the Web's link structure. IEEE Computer, 32(8), pages 60-67, August 1999.
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....3. DISCUSSION OF RELATED WORK As mentioned in the beginning, there is a large amount of recent academic and industrial work on web search technology. Most closely related to our work is the also quite extensive literature on the analysis and utilization of the hyperlink structure of the web; see [3, 15, 26] for an overview. In general, link based ranking is closely related to other applications of link analysis, such as clustering, categorization, or data mining, although a discussion of these issues is beyond the scope of this paper. Various heuristics for link based ranking, such as counting ....
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Chakrabarti, S., Dom, B. E., Kumar, S. R., Raghavan, P., Rajagopalan, S., Tomkins, A., Gibson, D., and Kleinberg, J. Mining the web's link structure. Computer, 32(8):60--67, 1999.
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