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» Recommendation Systems: A Probabilistic Analysis
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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...
DAC
2008
ACM
14 years 9 months ago
Cache modeling in probabilistic execution time analysis
Multimedia-dominated consumer electronics devices (such as cellular phone, digital camera, etc.) operate under soft real-time constraints. Overly pessimistic worst-case execution ...
Yun Liang, Tulika Mitra
WWW
2005
ACM
14 years 9 months ago
Improving recommendation lists through topic diversification
In this work we present topic diversification, a novel method designed to balance and diversify personalized recommendation lists in order to reflect the user's complete spec...
Cai-Nicolas Ziegler, Sean M. McNee, Joseph A. Kons...
RECSYS
2010
ACM
13 years 8 months ago
Affiliation recommendation using auxiliary networks
Social network analysis has attracted increasing attention in recent years. In many social networks, besides friendship links amongst users, the phenomenon of users associating th...
Vishvas Vasuki, Nagarajan Natarajan, Zhengdong Lu,...
ICCBR
2005
Springer
14 years 2 months ago
Re-using Implicit Knowledge in Short-Term Information Profiles for Context-Sensitive Tasks
Typically, case-based recommender systems recommend single items to the on-line customer. In this paper we introduce the idea of recommending a user-defined collection of items whe...
Conor Hayes, Paolo Avesani, Emiliano Baldo, Padrai...