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IOT
2010
9 years 9 months ago
DEHEMS: A user-driven domestic energy monitoring system
Persuasive energy monitoring technology has the potential to inspire sustainable energy lifestyles within the home. However, to effect positive ecological behaviour change, a more ...
Vasughi Sundramoorthy, Qi Liu, Grahame Cooper, Nig...
ECWEB
2010
Springer
155views ECommerce» more  ECWEB 2010»
9 years 10 months ago
Partial Ranking of Products for Recommendation Systems
A recommendation system (or recommender) is an algorithm whose goal is to recommend products to potential users. To achieve its task, it uses information about some user preference...
Sébastien Hémon, Thomas Largillier, ...
TRS
2008
9 years 11 months ago
A Model of User-Oriented Reduct Construction for Machine Learning
An implicit assumption of many machine learning algorithms is that all attributes are of the same importance. An algorithm typically selects attributes based solely on their statis...
Yiyu Yao, Yan Zhao, Jue Wang, Suqing Han
JODS
2006
206views Data Mining» more  JODS 2006»
9 years 11 months ago
Emergent Semantics in Knowledge Sifter: An Evolutionary Search Agent Based on Semantic Web Services
This paper addresses the various facets of emergent semantics in content retrieval systems such as Knowledge Sifter, an architecture and system based on the use of specialized agen...
Larry Kerschberg, Hanjo Jeong, Wooju Kim
JCP
2008
120views more  JCP 2008»
9 years 11 months ago
Multimedia Resource Replication Strategy for a Pervasive Peer-to-Peer Environment
The computer world is experiencing a paradigm shift towards context-aware pervasive computing, where diverse computer devices communicate with each other through different network ...
Letian Rong
CN
2007
146views more  CN 2007»
9 years 11 months ago
Autonomic control and personalization of a wireless access network
As ICT services are becoming more ubiquitous and mobile and access technologies grow to be more heterogeneous and complex, we are witnessing the increasing importance of two relat...
Nicola Blefari-Melazzi, Dario Di Sorte, Mauro Femm...
CORR
2010
Springer
147views Education» more  CORR 2010»
9 years 11 months ago
Learning Probabilistic Hierarchical Task Networks to Capture User Preferences
While much work on learning in planning focused on learning domain physics (i.e., action models), and search control knowledge, little attention has been paid towards learning use...
Nan Li, William Cushing, Subbarao Kambhampati, Sun...
AIPS
2009
10 years 23 days ago
Learning User Plan Preferences Obfuscated by Feasibility Constraints
It has long been recognized that users can have complex preferences on plans. Non-intrusive learning of such preferences by observing the plans executed by the user is an attracti...
Nan Li, William Cushing, Subbarao Kambhampati, Sun...
UAI
2003
10 years 1 months ago
Preference-based Graphic Models for Collaborative Filtering
Collaborative filtering is a very useful general technique for exploiting the preference patterns of a group of users to predict the utility of items to a particular user. Previou...
Rong Jin, Luo Si, ChengXiang Zhai
SEBD
2003
154views Database» more  SEBD 2003»
10 years 1 months ago
Management of User Preferences in Data Intensive Applications
Abstract. The management of user preferences is becoming a fundamental ingredient of modern Web-based data-intensive applications, in which information filtering is crucial to red...
Riccardo Torlone, Paolo Ciaccia
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