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» Learning to recommend from positive evidence
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IUI
2000
ACM
13 years 8 months ago
Learning to recommend from positive evidence
In recent years, many systems and approaches for recommending information, products or other objects have been developed. In these systems, often machine learning methods that nee...
Ingo Schwab, Wolfgang Pohl, Ivan Koychev
KI
2002
Springer
13 years 4 months ago
Adaptivity through Unobstrusive Learning
In this paper, we present an approach for learning interest profiles implicitly from positive user observations only. This approach eliminates the need to prompt users for ratings...
Ingo Schwab, Alfred Kobsa
EWCBR
1998
Springer
13 years 8 months ago
Case-Based Reasoning in CARE-PARTNER: Gathering Evidence for Evidence-Based Medical Practice
This paper presents the CARE-PARTNER system. Functionally, it offers via the WWW knowledge-support assistance to clinicians responsible for the long-term follow-up of stem-cell pos...
Isabelle Bichindaritz, Emin Kansu, Keith M. Sulliv...
AIED
2009
Springer
13 years 11 months ago
Will Google destroy western democracy? Bias in policy problem solving
: Democracy requires students to choose policy positions based on evidence, yet confirmation bias prevents them from doing so. As a preliminary step in building a policy reasoning ...
Matthew W. Easterday, Vincent Aleven, Richard Sche...
HICSS
2003
IEEE
159views Biometrics» more  HICSS 2003»
13 years 9 months ago
Building a Knowledge Sharing Company - Evidence From the Finnish Insurance Industry
This paper crystallises out some key findings of knowledge management practices from a Finnish survey on the insurance industry. 15 Finnish insurance companies of different sizes ...
Gunilla Widén-Wulff, Reima Suomi