@inproceedings{03d52dc12f184bd286d8ce59d5ffa8da,
title = "EviRank: An evidence based content trust model for web spam detection",
abstract = "Creating an effective spam detection method is a challenging task. Traditional works usually regard this kind of work as a problem of binary classification. In this paper, however, we argue that it is more property to use the notion of content trust for it, and regard it as a ranking or ordinal regression problem. Evidence is utilized to define the feature of spam web pages, and machine learning techniques are employed to combine the evidence to create a highly efficient and reasonably-accurate detection algorithm. Experiments on real web data are carried out, which improve the proposed method performs very well in practice.",
keywords = "Content trust, Evidence, Ranking, SVM, learning, Web spam",
author = "Wei Wang and Guosun Zeng and Mingjun Sun and Huanan Gu and Quan Zhang",
year = "2007",
doi = "10.1007/978-3-540-72909-9\_34",
language = "英语",
isbn = "9783540729082",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "299--307",
booktitle = "Advances in Web and Network Technologies, and Information Management - APWeb/WAIM 2007 International Workshops DBMAN 2007, WebETrends 2007, PAIS 2007 and ASWAN 2007, Proceedings",
address = "德国",
note = "ApWeb/WAIM 2007 International Workshops: 1st International workshop on Database Management and Applications over Networks, DBMAN 2007 - 1st Workshop on Emerging Trends of Web Technologies and Applications, WebETrends 2007 - International Workshop on ; Conference date: 16-06-2007 Through 18-06-2007",
}