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» Improving Case-Based Recommendations Using Implicit Feedback
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WEBI
2004
Springer
14 years 24 days ago
TSSP: A Reinforcement Algorithm to Find Related Papers
Content analysis and citation analysis are two common methods in recommending system. Compared with content analysis, citation analysis can discover more implicitly related papers...
Shen Huang, Gui-Rong Xue, Benyu Zhang, Zheng Chen,...
LREC
2008
64views Education» more  LREC 2008»
13 years 9 months ago
The Linguistic Data Consortium Member Survey: Purpose, Execution and Results
The Linguistic Data Consortium (LDC) seeks to provide its members with quality linguistic resources and services. In order to pursue these ideals and to remain current, LDC monito...
Marian Reed, Denise DiPersio, Christopher Cieri
PVLDB
2010
115views more  PVLDB 2010»
13 years 5 months ago
CORADD: Correlation Aware Database Designer for Materialized Views and Indexes
We describe an automatic database design tool that exploits correlations between attributes when recommending materialized views (MVs) and indexes. Although there is a substantial...
Hideaki Kimura, George Huo, Alexander Rasin, Samue...
PETRA
2009
ACM
14 years 2 months ago
A mobile rehabilitation application for the remote monitoring of cardiac patients after a heart attack or a coronary bypass surg
This paper describes a personalised rehabilitation application using a smart phone (PDA) and wireless (bio) sensors. It instructs and motivates patients to follow their exercise p...
Valérie Gay, Peter Leijdekkers, Edward Bari...
ML
2006
ACM
14 years 1 months ago
Seminal: searching for ML type-error messages
We present a new way to generate type-error messages in a polymorphic, implicitly, and strongly typed language (specifically Caml). Our method separates error-message generation ...
Benjamin S. Lerner, Dan Grossman, Craig Chambers