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» Interaction Design in a Mobile Food Recommender System
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ACMICEC
2007
ACM
143views ECommerce» more  ACMICEC 2007»
14 years 1 months ago
Integrated personal recommender systems
Recommender Systems belong to a class of systems intended to assist individuals make evaluations about entities in meaningful ways. In this paper we discuss the issues in the desi...
Ronald Chung, David Sundaram, Ananth Srinivasan
HICSS
2010
IEEE
187views Biometrics» more  HICSS 2010»
14 years 4 months ago
Engaging the Periphery for Visual Communication on Mobile Phones
While mobile phones have become ubiquitous instruments of communication and social interaction, they still require explicit interaction, placing high demands on attention. Engagin...
Lisa Cowan, William G. Griswold, Louise Barkhuus, ...
ACMICEC
2007
ACM
154views ECommerce» more  ACMICEC 2007»
14 years 1 months ago
Learning and adaptivity in interactive recommender systems
Recommender systems are intelligent E-commerce applications that assist users in a decision-making process by offering personalized product recommendations during an interaction s...
Tariq Mahmood, Francesco Ricci
IUI
2004
ACM
14 years 3 months ago
Don't miss-r --: recommending restaurants through an adaptive mobile system
The present study compares an adaptive simulated cellular-phone based recommender system to a non-adaptive one, in order to evaluate user preferences with respect to system adapti...
Dina Goren-Bar, Tsvi Kuflik
WS
2008
ACM
13 years 9 months ago
Recommendations based on semantically enriched museum collections
This article presents the CHIP demonstrator5 for providing personalized access to digital museum collections. It consists of three main components: Art Recommender, Tour Wizard, an...
Yiwen Wang, Natalia Stash, Lora Aroyo, Peter Gorge...