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CIKM
2007
Springer
15 years 6 months ago
Predictive user click models based on click-through history
Web search engines consistently collect information about users interaction with the system: they record the query they issued, the URL of presented and selected documents along w...
Benjamin Piwowarski, Hugo Zaragoza
KAIS
2010
132views more  KAIS 2010»
14 years 11 months ago
Integrating multiple document features in language models for expert finding
We argue that expert finding is sensitive to multiple document features in an organizational intranet. These document features include multiple levels of associations between expe...
Jianhan Zhu, Xiangji Huang, Dawei Song, Stefan M. ...
82
Voted
ECML
2005
Springer
15 years 6 months ago
Learning (k, l)-Contextual Tree Languages for Information Extraction
This paper introduces a novel method for learning a wrapper for extraction of information from web pages, based upon (k,l)-contextual tree languages. It also introduces a method to...
Stefan Raeymaekers, Maurice Bruynooghe, Jan Van de...
101
Voted
CIKM
2008
Springer
15 years 2 months ago
Tag data and personalized information retrieval
Researchers investigating personalization techniques for Web Information Retrieval face a challenge; that the data required to perform evaluations, namely query logs and clickthro...
Mark James Carman, Mark Baillie, Fabio Crestani
91
Voted
WWW
2009
ACM
16 years 1 months ago
Identifying vertical search intention of query through social tagging propagation
A pressing task during the unification process is to identify a user's vertical search intention based on the user's query. In this paper, we propose a novel method to p...
Ning Liu, Jun Yan, Weiguo Fan, Qiang Yang, Zheng C...