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Introduction: The 14th Artificial Intelligence and Cognitive Science Conference (AICS-03)

Introduction: The 14th Artificial Intelligence and Cognitive Science Conference (AICS-03) Artificial Intelligence Review 21: 191–192, 2004. 191 2004 Kluwer Academic Publishers. Printed in the Netherlands. Introduction – The 14th Artificial Intelligence and Cognitive Science Conference (AICS-03) This Special Issue of the AI Review contains a selection of papers that describe work presented at the 14th Artificial Intelligence and Cognitive Science Conference (AICS 2003). Then first three papers describe work on Collaborative Filtering Systems. The paper by Kelleher and Bridge explores the lazy – eager dimension in Recommender Systems. It presents an eager Model-Based recommender framework that has good runtime performance without sacrificing any of the accuracy of lazy Memory-Based approaches. The paper by O’Mahony et al. examines the robustness of Collaborative Recommender algorithms in the face of malicious noise in the usage data, i.e. noise purposefully introduced either to promote or damage an asset available for recommendation. Freyne et al. consider collaboration is a slightly different context – in collaborative web search. They present the I-Spy system where data from groups of users is used to provide a collective model of context that is used to rank search returns. The next three papers relate to Natural Language Processing (NLP). The first of these papers (Kelleher and van Genabith) presents http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Artificial Intelligence Review Springer Journals

Introduction: The 14th Artificial Intelligence and Cognitive Science Conference (AICS-03)

Cunningham, Pádraig
Artificial Intelligence Review , Volume 21 (4) – Oct 12, 2004
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Publisher
Springer Journals
Copyright
Copyright © 2004 by Kluwer Academic Publishers
Subject
Computer Science; Artificial Intelligence (incl. Robotics); Computer Science, general
ISSN
0269-2821
eISSN
1573-7462
DOI
10.1023/B:AIRE.0000036254.44436.14
Publisher site
See Article on Publisher Site

Abstract

Artificial Intelligence Review 21: 191–192, 2004. 191 2004 Kluwer Academic Publishers. Printed in the Netherlands. Introduction – The 14th Artificial Intelligence and Cognitive Science Conference (AICS-03) This Special Issue of the AI Review contains a selection of papers that describe work presented at the 14th Artificial Intelligence and Cognitive Science Conference (AICS 2003). Then first three papers describe work on Collaborative Filtering Systems. The paper by Kelleher and Bridge explores the lazy – eager dimension in Recommender Systems. It presents an eager Model-Based recommender framework that has good runtime performance without sacrificing any of the accuracy of lazy Memory-Based approaches. The paper by O’Mahony et al. examines the robustness of Collaborative Recommender algorithms in the face of malicious noise in the usage data, i.e. noise purposefully introduced either to promote or damage an asset available for recommendation. Freyne et al. consider collaboration is a slightly different context – in collaborative web search. They present the I-Spy system where data from groups of users is used to provide a collective model of context that is used to rank search returns. The next three papers relate to Natural Language Processing (NLP). The first of these papers (Kelleher and van Genabith) presents

Journal

Artificial Intelligence Review – Springer Journals

Published: Oct 12, 2004

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