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ABSTRACT
In this paper we propose new tasks for a possible future Web Spam Challenge motivated by the needs of the archival community. The Web archival community consists of several relatively small institutions that operate independently and possibly over different top level domains (TLDs). Each of them may have a large set of historic crawls. Efficient filtering would hence require (1) enhanced use of the time series of domain snapshots and (2) collaboration by transferring models across different TLDs. Corresponding Challenge tasks could hence include the distribution of crawl snapshot data for feature generation as well as classification of unlabeled new crawls of the same or even different TLDs.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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1
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J. Abernethy, O. Chapelle, and C. Castillo. WITCH: A New Approach to Web Spam Detection. In Proc. 4th Int. Workshop on Adversarial Information Retrieval on the Web (AIRWeb), 2008.
|
 |
2
|
|
| |
3
|
|
 |
4
|
|
 |
5
|
Carlos Castillo , Debora Donato , Luca Becchetti , Paolo Boldi , Stefano Leonardi , Massimo Santini , Sebastiano Vigna, A reference collection for web spam, ACM SIGIR Forum, v.40 n.2, p.11-24, December 2006
[doi> 10.1145/1189702.1189703]
|
| |
6
|
G. Cormack. Content-based Web Spam Detection. In Proc. 3rd Int. Workshop on Adversarial Information Retrieval on the Web (AIRWeb), 2007.
|
 |
7
|
|
 |
8
|
|
| |
9
|
G. Geng, X. Jin, and C. Wang. CASIA at WSC2008. In Proc. 4th Int. Workshop on Adversarial Information Retrieval on the Web (AIRWeb), 2008.
|
| |
10
|
Y. joo Chung, M. Toyoda, and M. Kitsuregawa. A study of web spam evolution using a time series of web snapshots. In AIRWeb '09: Proc. 5th int. workshop on Adversarial information retrieval on the web, 2009.
|
 |
11
|
|
|