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NIPS
2008
13 years 9 months ago
Stochastic Relational Models for Large-scale Dyadic Data using MCMC
Stochastic relational models (SRMs) [15] provide a rich family of choices for learning and predicting dyadic data between two sets of entities. The models generalize matrix factor...
Shenghuo Zhu, Kai Yu, Yihong Gong
JCIT
2008
70views more  JCIT 2008»
13 years 7 months ago
A Local Safety Knowledge Sharing System for Proactive Management by Citizens
In this paper, we describe a local safety knowledge sharing system among the community. Our system makes it possible to share detailed safety knowledge, which includes location an...
Akira Hattori, Masato Goto, Haruo Hayami
AIR
2005
120views more  AIR 2005»
13 years 7 months ago
Rascal: A Recommender Agent for Agile Reuse
As software organisations mature, their repositories of reusable software components from previous projects will also grow considerably. Remaining conversant with all components in...
Frank McCarey, Mel Ó Cinnéide, Nicho...
CIKM
2010
Springer
13 years 2 months ago
On bootstrapping recommender systems
Recommender systems perform much better on users for which they have more information. This gives rise to a problem of satisfying users new to a system. The problem is even more a...
Nadav Golbandi, Yehuda Koren, Ronny Lempel
WWW
2011
ACM
13 years 2 months ago
Ranking in context-aware recommender systems
As context is acknowledged as an important factor that can affect users’ preferences, many researchers have worked on improving the quality of recommender systems by utilizing ...
Minsuk Kahng, Sangkeun Lee, Sang-goo Lee