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» A dynamic bayesian network click model for web search rankin...
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WWW
2009
ACM
14 years 5 months ago
A dynamic bayesian network click model for web search ranking
As with any application of machine learning, web search ranking requires labeled data. The labels usually come in the form of relevance assessments made by editors. Click logs can...
Olivier Chapelle, Ya Zhang
WWW
2010
ACM
13 years 12 months ago
Tracking the random surfer: empirically measured teleportation parameters in PageRank
PageRank computes the importance of each node in a directed graph under a random surfer model governed by a teleportation parameter. Commonly denoted alpha, this parameter models ...
David F. Gleich, Paul G. Constantine, Abraham D. F...
TREC
1998
13 years 6 months ago
ClickIR: Text Retrieval using a Dynamic Hypertext Interface
In this report we describe our model of dynamic hypertext and how the ClickIR system uses this model to assist users in interactive search. The system was used in both the ad hoc ...
Richard C. Bodner, Mark H. Chignell
WSDM
2010
ACM
365views Data Mining» more  WSDM 2010»
14 years 2 months ago
A Novel Click Model and Its Applications to Online Advertising
Recent advances in click model have positioned it as an attractive method for representing user preferences in web search and online advertising. Yet, most of the existing works f...
Zeyuan Allen Zhu, Weizhu Chen, Tom Minka, Chenguan...
EMNLP
2010
13 years 3 months ago
Learning Recurrent Event Queries for Web Search
Recurrent event queries (REQ) constitute a special class of search queries occurring at regular, predictable time intervals. The freshness of documents ranked for such queries is ...
Ruiqiang Zhang, Yuki Konda, Anlei Dong, Pranam Kol...