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CIKM
2006
Springer

A comparative study on classifying the functions of web page blocks

9 years 6 months ago
A comparative study on classifying the functions of web page blocks
In this paper, we study the problem of learning block classification models to estimate block functions. We distinguish general models, which are learned across multiple sites, and site-specific models, which are learned within individual sites. We further consider several factors that affect the learning process and model effectiveness. These factors include the layout features, the content features, the classifiers, and the term selection methods. We have empirically evaluated the performance of the models when the factors are varied. Our main results are that layout features do better than content features for learning both general and site-specific models. Categories and Subject Descriptors H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval--Information filtering, selection process; I.7.m [Document and Text Processing]: Miscellaneous General Terms Algorithms Keywords Web page block, block function, block classification model, feature selection, layout feat...
Xiangye Xiao, Qiong Luo, Xing Xie, Wei-Ying Ma
Added 20 Aug 2010
Updated 20 Aug 2010
Type Conference
Year 2006
Where CIKM
Authors Xiangye Xiao, Qiong Luo, Xing Xie, Wei-Ying Ma
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