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KDD
2003
ACM
113views Data Mining» more  KDD 2003»
16 years 6 months ago
Mining unexpected rules by pushing user dynamics
Unexpected rules are interesting because they are either previously unknown or deviate from what prior user knowledge would suggest. In this paper, we study three important issues...
Ke Wang, Yuelong Jiang, Laks V. S. Lakshmanan
AIIDE
2006
15 years 7 months ago
Predicting User Physiological Response for Interactive Environments: An Inductive Approach
Affective reasoning holds great potential for interactive digital entertainment, education, and training. Incorporating affective reasoning into the decision-making capabilities o...
Scott W. McQuiggan, Sunyoung Lee, James C. Lester
POPL
2003
ACM
16 years 6 months ago
From symptom to cause: localizing errors in counterexample traces
There is significant room for improving users' experiences with model checking tools. An error trace produced by a model checker can be lengthy and is indicative of a symptom...
Thomas Ball, Mayur Naik, Sriram K. Rajamani
DIS
2004
Springer
15 years 12 months ago
Product Recommendation in e-Commerce Using Direct and Indirect Confidence for Historical User Sessions
Product recommendation is an important part of current electronic commerce. Useful, direct and indirect relationships between pages, especially product home pages in an e-commerce ...
Przemyslaw Kazienko
JCDL
2010
ACM
155views Education» more  JCDL 2010»
15 years 11 months ago
Scholarly paper recommendation via user's recent research interests
We examine the effect of modeling a researcher’s past works in recommending scholarly papers to the researcher. Our hypothesis is that an author’s published works constitute a...
Kazunari Sugiyama, Min-Yen Kan