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» A Lattice-Based Model for Recommender Systems
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RECSYS
2010
ACM
15 years 1 days ago
Collaborative filtering via euclidean embedding
Recommendation systems suggest items based on user preferences. Collaborative filtering is a popular approach in which recommending is based on the rating history of the system. O...
Mohammad Khoshneshin, W. Nick Street
STOC
2004
ACM
145views Algorithms» more  STOC 2004»
16 years 4 days ago
Using mixture models for collaborative filtering
A collaborative filtering system at an e-commerce site or similar service uses data about aggregate user behavior to make recommendations tailored to specific user interests. We d...
Jon M. Kleinberg, Mark Sandler
LANC
2009
ACM
158views Education» more  LANC 2009»
15 years 6 months ago
Enhancements to the opinion model for video-telephony applications
In this paper, we show how the proposed model in ITU-T Recommendation G.1070 “Opinion model for video-telephony applications” cannot model properly the perceptual video qualit...
Jose Joskowicz, José Carlos López-Ar...
CIMCA
2006
IEEE
15 years 5 months ago
Assessing and Assuring Trust in E-Commerce Systems
On-line trading or Internet Commerce restoring to ECommerce systems are gradually replacing the traditional commerce activities. Internet users must have reasonable faith on the u...
Zhongwei Zhang, Zhen Wang
WSC
1998
15 years 1 months ago
Effective Implementation of Cycle Time Reduction Strategies for Semiconductor Back-end Manufacturing
Using discrete-event simulation models, a study was conducted to evaluate the current production practices of a high-volume semiconductor back-end operation. The overall goal was ...
Joerg Domaschke, Steven Brown, Jennifer Robinson, ...