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CHI
2009
ACM
14 years 9 months ago
Why and why not explanations improve the intelligibility of context-aware intelligent systems
Context-aware intelligent systems employ implicit inputs, and make decisions based on complex rules and machine learning models that are rarely clear to users. Such lack of system...
Brian Y. Lim, Anind K. Dey, Daniel Avrahami
VL
2009
IEEE
126views Visual Languages» more  VL 2009»
14 years 3 months ago
Predicting reuse of end-user web macro scripts
Repositories of code written by end-user programmers are beginning to emerge, but when a piece of code is new or nobody has yet reused it, then current repositories provide users ...
Christopher Scaffidi, Christopher Bogart, Margaret...
CE
2008
160views more  CE 2008»
13 years 8 months ago
Data mining in course management systems: Moodle case study and tutorial
Educational data mining is an emerging discipline, concerned with developing methods for exploring the unique types of data that come from the educational context. This work is a ...
Cristóbal Romero, Sebastián Ventura,...
LRE
2006
175views more  LRE 2006»
13 years 8 months ago
Automatically generating related queries in Japanese
Web searchers reformulate their queries, as they adapt to search engine behavior, learn more about a topic, or simply correct typing errors. Automatic query rewriting can help user...
Rosie Jones, Kevin Bartz, Pero Subasic, Benjamin R...
WEBNET
2001
13 years 10 months ago
An Adaptive Hypermedia Presentation Modeling System for Custom Knowledge Representations
We propose a generic presentation system for adaptive educational hypermedia that is highly independent from domain knowledge representation and application state management. Our a...
Pablo Castells, José Antonio Macías ...