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» SBotMiner: Large Scale Search Bot Detection
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WSDM
2010
ACM
315views Data Mining» more  WSDM 2010»
12 years 5 months ago
SBotMiner: Large Scale Search Bot Detection
In this paper, we study search bot traffic from search engine query logs at a large scale. Although bots that generate search traffic aggressively can be easily detected, a large ...
Fang Yu, Yinglian Xie, Qifa Ke
WWW
2010
ACM
12 years 3 months ago
Large-scale bot detection for search engines
In this paper, we propose a semi-supervised learning approach for classifying program (bot) generated web search traffic from that of genuine human users. The work is motivated by...
Hongwen Kang, Kuansan Wang, David Soukal, Fritz Be...
APWEB
2004
Springer
11 years 12 months ago
A Query-Dependent Duplicate Detection Approach for Large Scale Search Engines
Duplication of Web pages greatly hurts the perceived relevance of a search engine. Existing methods for detecting duplicated Web pages can be classified into two categories, i.e. o...
Shaozhi Ye, Ruihua Song, Ji-Rong Wen, Wei-Ying Ma
JWSR
2007
172views more  JWSR 2007»
11 years 8 months ago
Service Class Driven Dynamic Data Source Discovery with DynaBot
: Dynamic Web data sources – sometimes known collectively as the Deep Web – increase the utility of the Web by providing intuitive access to data repositories anywhere that Web...
Daniel Rocco, James Caverlee, Ling Liu, Terence Cr...
CLEF
2009
Springer
11 years 6 months ago
Overview of the CLEF 2009 Large-Scale Visual Concept Detection and Annotation Task
The large-scale visual concept detection and annotation task (LS-VCDT) in ImageCLEF 2009 aims at the detection of 53 concepts in consumer photos. These concepts are structured in ...
Stefanie Nowak, Peter Dunker
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