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» Learning User Intentions in Spoken Dialogue Systems
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SEMWEB
2007
Springer
15 years 4 months ago
Cultural Adaptivity for the Semantic Web
Our research explores the possibilities for factoring culture into user models, working towards cultural adaptivity in the semantic web. The aim is to represent the user’s positi...
Katharina Reinecke
WWW
2008
ACM
15 years 10 months ago
Efficiently finding web services using a clustering semantic approach
Efficiently finding Web services on the Web is a challenging issue in service-oriented computing. Currently, UDDI is a standard for publishing and discovery of Web services, and U...
Jiangang Ma, Yanchun Zhang, Jing He
CIKM
2009
Springer
15 years 4 months ago
Enabling multi-level relevance feedback on pubmed by integrating rank learning into DBMS
Background: Finding relevant articles from PubMed is challenging because it is hard to express the user’s specific intention in the given query interface, and a keyword query ty...
Hwanjo Yu, Taehoon Kim, Jinoh Oh, Ilhwan Ko, Sungc...
ICCV
2007
IEEE
15 years 12 months ago
Graph-Cut Transducers for Relevance Feedback in Content Based Image Retrieval
Closing the semantic gap in content based image retrieval (CBIR) basically requires the knowledge of the user's intention which is usually translated into a sequence of quest...
Hichem Sahbi, Jean-Yves Audibert, Renaud Keriven
ECIS
2011
13 years 9 months ago
Adaptive persuasive messages in an e-commerce setting: the use of persuasion profiles
Technologies that are intentionally designed to change a person’s attitude or behaviors are emergent. Designers of these technologies frequently use implementations of influence...
Maurits Kaptein