Countering Web Spam of Link-based Ranking Based on Link Analysis
نویسندگان
چکیده
منابع مشابه
Analysis of Link Based Ranking for the Web
In the last years, several techniques based in link analysis have been proposed and used in search engines to rank Web pages. As links are generated by humans, link based ranking seems to give better results than traditional techniques such as vector based ranking. However, no studies have been done about their real impact. In this paper we extend global page ranking techniques to Web site rank...
متن کاملWeb Spam Detection: link-based and content-based techniques
The Web is both an excellent medium for sharing information as well as an attractive platform for delivering products and services. This platform is, to some extent, mediated by search engines in order to meet the needs of users seeking information. Search engines are the “dragons” that keep a valuable treasure: information [13]. Given the vast amount of information available on the Web, it is ...
متن کاملRelational link-based ranking
Link analysis methods show that the interconnections between web pages have lots of valuable information. The link analysis methods are, however, inherently oriented towards analyzing binary relations. We consider the question of generalizing link analysis methods for analyzing relational databases. To this aim, we provide a generalized ranking framework and address its practical implications. ...
متن کاملLink-Based Characterization and Detection of Web Spam
We perform a statistical analysis of a large collection of Web pages, focusing on spam detection. We study several metrics such as degree correlations, number of neighbors, rank propagation through links, TrustRank and others to build several automatic web spam classifiers. This paper presents a study of the performance of each of these classifiers alone, as well as their combined performance. ...
متن کاملR-SpamRank: A Spam Detection Algorithm Based on Link Analysis
Spam web pages intend to achieve higher-than-deserved ranking by various techniques. While human experts could easily identify spam web pages, the manual evaluating process of a large number of pages is still time consuming and cost consuming. To assist manual evaluation, we propose an algorithm to assign spam values to web pages and semi-automatically select potential spam web pages. We first ...
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ژورنال
عنوان ژورنال: Procedia Engineering
سال: 2011
ISSN: 1877-7058
DOI: 10.1016/j.proeng.2011.11.2507