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» Inferring Personal Information from Demand-Response Systems
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GROUP
2007
ACM
13 years 12 months ago
Searching for experts in the enterprise: combining text and social network analysis
Employees depend on other people in the enterprise for rapid access to important information. But current systems for finding experts do not adequately address the social implicat...
Kate Ehrlich, Ching-Yung Lin, Vicky Griffiths-Fish...
MM
2010
ACM
221views Multimedia» more  MM 2010»
13 years 8 months ago
Building book inventories using smartphones
Manual generation of a book inventory is time-consuming and tedious, while deployment of barcode and radio-frequency identification (RFID) management systems is costly and afforda...
David M. Chen, Sam S. Tsai, Bernd Girod, Cheng-Hsi...
CHI
2005
ACM
14 years 8 months ago
Building security and trust in online banking
Growing threats to online banking security (e.g. phishing, personal identify fraud) and the personal nature of the data make the balance between security, trust and usability vita...
Maria Nilsson, Anne Adams, Simon Herd
ICWSM
2009
13 years 5 months ago
A Comparative Analysis of Trust-Enhanced Recommenders for Controversial Items
A particularly challenging task for recommender systems (RSs) is deciding whether to recommend an item that received a variety of high and low scores from its users. RSs that inco...
Patricia Victor, Chris Cornelis, Martine De Cock, ...
WKDD
2010
CPS
204views Data Mining» more  WKDD 2010»
14 years 1 months ago
A Scalable, Accurate Hybrid Recommender System
—Recommender systems apply machine learning techniques for filtering unseen information and can predict whether a user would like a given resource. There are three main types of...
Mustansar Ali Ghazanfar, Adam Prügel-Bennett