By extracting the page-to-block, block-to-page relationships from link structure and page layout analysis, we can construct a semantic graph over the WWW such that each node exactly represents a single semantic topic. This graph can better describe the semantic structure of the web.
Link Analysis has shown great potential in improving the performance of web search. PageRank and HITS are two of the most popular algorithms.
Jul 1, 2004 · Based on block-level link analysis, we proposed two new algorithms, Block Level PageRank and Block Level HITS, whose performances we study extensively using ...
Aug 24, 2004 · It breaks down a web page into smaller sections (or blocks), and then evaluates the importance of the information and links within that block.
In this paper, we proposed two novel link analysis algorithms called Block Level PageRank (BLPR) and Block Level HITS. (BLHITS) which treat the semantic blocks ...
Link Analysis has shown great potential in improving the performance of web search. PageRank and HITS are two of the most popular algorithms.
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Based on block-level link analysis, two new algorithms are proposed, Block Level PageRank and Block Level HITS, whose performances are studied extensively ...
In this paper, we proposed two novel link analysis algorithms called Block Level PageRank (BLPR) and Block Level HITS. (BLHITS) which treat the semantic blocks ...
This paper puts forward a new community detecting algorithm based on blocks as units, which combines the page dividing algorithm with the primary community ...
Block (Passage) Level Link Analysis by MSN - Search Engine Roundtable
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Jul 30, 2004 · Link Analysis has shown great potential in improving the per-formance of web search. PageRank and HITS are two of the most popular algorithms.