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Learning block importance models for web pages

Ruihua Song, Haifeng Liu, Ji-Rong Wen, Wei-Ying Ma
2004 Proceedings of the 13th conference on World Wide Web - WWW '04  
Based on these features, learning algorithms are used to train a model to assign importance to different segments in the web page.  ...  Through a user study, we found that people do have a consistent view about the importance of blocks in web pages.  ...  ACKNOWLEDGEMENTS We are grateful to Professor H-Arno Jacobsen at University of Toronto for his valuable comments and revision on our paper.  ... 
doi:10.1145/988672.988700 dblp:conf/www/SongLWM04 fatcat:qdunbz4ewfcgpee2xcvmbs6yq4

Learning important models for web page blocks based on layout and content analysis

Ruihua Song, Haifeng Liu, Ji-Rong Wen, Wei-Ying Ma
2004 SIGKDD Explorations  
Through a user study, we found that people do have a consistent view about the importance of blocks in a web page.  ...  However, no uniform approach and model has been presented to measure the importance of different blocks in a web page.  ...  Areas in a Web Page Using Visual Information: a possible application in a page classification, in the proceedings of 2002 IEEE International Conference on Data Mining (ICDM' 02), Maebashi City, Japan,  ... 
doi:10.1145/1046456.1046459 fatcat:oaranxeiyvbslpfquye5kihw54