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22 cze 2023 · The block-level analysis is an algorithmic method of dividing a web page into smaller components (also known as blocks) for properly analysing them. After that, the content and embedded links of each component (or block) are analysed to see how relevant and significant they are.
This graph can better describe the semantic structure of the web. Based on block-level link analysis, we proposed two new algorithms, Block Level PageRank and Block Level HITS, whose performances we study extensively using web data.
25 lip 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 web data.
22 lut 2016 · 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 as information units. By using vision-based page segmentation (VIPS) algorithm [4][5], we extract page-to-block and block-to-page relationships
21 gru 2017 · What is content analysis? Are there differences between quantitative and qualitative approaches? How does content analysis distinguish itself from discourse analysis? What methodological...
25 lip 2004 · Based on block-level link analysis, two new algorithms are proposed, Block Level PageRank and Block Level HITS, whose performances are studied extensively using web data. Link Analysis has shown great potential in improving the performance of web search.
18 lip 2019 · Content analysis can be both quantitative (focused on counting and measuring) and qualitative (focused on interpreting and understanding). In both types, you categorize or “code” words, themes, and concepts within the texts and then analyze the results.
