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» Mining autograding data in computer science education
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WSDM
2012
ACM
246views Data Mining» more  WSDM 2012»
13 years 5 months ago
Auralist: introducing serendipity into music recommendation
Recommendation systems exist to help users discover content in a large body of items. An ideal recommendation system should mimic the actions of a trusted friend or expert, produc...
Yuan Cao Zhang, Diarmuid Ó Séaghdha,...
PROFES
2005
Springer
15 years 3 months ago
Mega Software Engineering
Abstract. In various fields of computer science, rapidly growing hardware power, such as high-speed network, high-performance CPU, huge disk capacity, and large memory space, has ...
Katsuro Inoue, Pankaj K. Garg, Hajimu Iida, Ken-ic...
JCDL
2006
ACM
128views Education» more  JCDL 2006»
15 years 3 months ago
Building a research library for the history of the web
This paper describes the building of a research library for studying the Web, especially research on how the structure and content of the Web change over time. The library is part...
William Y. Arms, Selcuk Aya, Pavel Dmitriev, Blaze...
AIED
2007
Springer
15 years 3 months ago
Applying Learning Factors Analysis to Build Stereotypic Student Models
This paper demonstrates how stereotypic student groups can be created to enhance cognitive models in computer tutors. Computer tutors use cognitive models to track what skills stud...
Anna N. Rafferty, Michael Yudelson
93
Voted
DAC
2000
ACM
15 years 10 months ago
METRICS: a system architecture for design process optimization
We describe METRICS, a system to recover design productivity via new infrastructure for design process optimization. METRICS seeks to treat system design and implementation as a s...
Stephen Fenstermaker, David George, Andrew B. Kahn...