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WWW
2009
ACM
16 years 8 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
2009
ACM
16 years 8 months ago
Spatio-temporal models for estimating click-through rate
We propose novel spatio-temporal models to estimate clickthrough rates in the context of content recommendation. We track article CTR at a fixed location over time through a dynam...
Deepak Agarwal, Bee-Chung Chen, Pradheep Elango
WWW
2003
ACM
16 years 8 months ago
Agent-based semantic web services
The Web Services world consists of loosely-coupled distributed systems which adapt to ad-hoc changes by the use of service descriptions that enable opportunistic service discovery...
Nicholas Gibbins, Stephen Harris, Nigel Shadbolt
KDD
2004
ACM
170views Data Mining» more  KDD 2004»
16 years 7 months ago
Why collective inference improves relational classification
Procedures for collective inference make simultaneous statistical judgments about the same variables for a set of related data instances. For example, collective inference could b...
David Jensen, Jennifer Neville, Brian Gallagher
CHI
2007
ACM
16 years 7 months ago
An interface to support color blind computer users
A new method for adapting digital images so that they are suitable for color blind viewers is presented. In contrast to earlier automatic methods which formulate the problem of ad...
Luke Jefferson, Richard Harvey