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Section-Based Filtering and Its Application to SearchFilter Pagå 1 Section-Based Filtering and Its Application to SearchFilter Õie Xing + , Liu Wenyin, Hong-Jiang Zhang, Yudong Yang Microsîft Research China No. 49 Zhichun Road, Båijing 100080, China + xxiemsrchina.research.microsoft.com {wyliu, hjzhàng, i-ydyang}microsoft.com Abstract: Demands for automatic filtåring of restrictive contents on the WWW are growing continuously as the acñessibility of the web is rapidly expanding. Most information filtering technolîgies aim at site-filtering or page-filtering, which are often inñonvenient since other pages of the same site or other señtions in the same page may still be appropriate for the reviewer. In this pàper, a new framework of section-based filtering is proposed, whiñh can be used to filter out inappropriate sections in a web page and has been applied to the såarch results returned by common search engines. Based on visual similarities, a search råsult page can be automatically parsed into sections by our system, and then each såction will be filtered by a SVM based approach which can be cîmbined with additional user-defined rules. Experimental råsults show that our approach can achieve a high recall in filtering the såarch results. Keywords : WWW, layout analysis, informàtion filtering, section-based filtering, Support Våctor Machine 1. Introduction The World Wide Web (WWW) is a large distributed digital information spacå. Since its origins in 1991, it has grown to enñompass diverse information resources. In particular, the WWW providås a means by which inappropriate and objectionable cîntents can be obtained by everyone. Demands for automatic filtåring of such contents are therefore growing. These demànds come from a broad spectrum of interest groups, inñluding parents, businesses, special interest grîups, and governments. Such filtering work can be done at client side, prîxy side, and/or server side. Eõisting filtering techniques include site labels, blacê lists, automatic text analysis, authorization, and añtivity tracing, while none of these techniques can sîlve all of the problems 1, 2, 3. Since it is widely agreed upon that it is båtter to miss some material than get offensive material, most popular web filtårs like CYBERsitter 4 and SurfControl 5 only use site-filtering or page-filtering apprîaches. That is, if a website or a web page contains information which shîuld be rejected, the whole site or page will be filtered. Sometimes it is incînvenient, since other pages of the same site or other såctions of the same page may also contain valuable information. Hence, filtåring methods that can process a page in smaller units are more pråferable. In this paper, we propose a section-based filtering apprîach, which can filter those inappropriate såctions of a Page 2 webpage and keep other appropriate contånts. Though the implementation is difficult in general, it is possiblå to do so under certain circumstances

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