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» Personalization in E-Commerce Applications
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WWW
2006
ACM
14 years 9 months ago
Invasive browser sniffing and countermeasures
We describe the detrimental effects of browser cache/history sniffing in the context of phishing attacks, and detail an approach that neutralizes the threat by means of URL person...
Markus Jakobsson, Sid Stamm
AIIDE
2008
13 years 11 months ago
Learning to be a Bot: Reinforcement Learning in Shooter Games
This paper demonstrates the applicability of reinforcement learning for first person shooter bot artificial intelligence. Reinforcement learning is a machine learning technique wh...
Michelle McPartland, Marcus Gallagher
WWW
2009
ACM
14 years 9 months ago
Retaining personal expression for social search
Web is being extensively used for personal expression, which includes ratings, reviews, recommendations, blogs. This user created content, e.g. book review on Amazon.com, becomes ...
Praphul Chandra, Ajay Gupta
WWW
2007
ACM
14 years 9 months ago
Google news personalization: scalable online collaborative filtering
Several approaches to collaborative filtering have been studied but seldom have studies been reported for large (several million users and items) and dynamic (the underlying item ...
Abhinandan Das, Mayur Datar, Ashutosh Garg, ShyamS...
CHI
2005
ACM
14 years 9 months ago
A visual recipe book for persons with language impairments
Cooking is a daily activity for many people. However, traditional text recipes are often prohibitively difficult to follow for people with language disorders, such as aphasia. We ...
Kimberly Tee, Karyn Moffatt, Leah Findlater, Eve M...