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» A Model of Learning Using the Internet
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WWW
2009
ACM
15 years 10 months ago
Predicting click through rate for job listings
Click Through Rate (CTR) is an important metric for ad systems, job portals, recommendation systems. CTR impacts publisher's revenue, advertiser's bid amounts in "p...
Manish S. Gupta
WWW
2011
ACM
14 years 4 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
ICWL
2007
Springer
15 years 3 months ago
A Piece-Wise Learning Approach to 3D Facial Animation
Web-based 3D facial animation is an alternative of face to face communication. Animating 3D human faces is also a difficult task because of the substantive non-rigid facial motions...
Yushun Wang, Yueting Zhuang, Jun Xiao, Fei Wu
NIPS
2007
14 years 11 months ago
Mining Internet-Scale Software Repositories
Large repositories of source code create new challenges and opportunities for statistical machine learning. Here we first develop Sourcerer, an infrastructure for the automated c...
Erik Linstead, Paul Rigor, Sushil Krishna Bajracha...
IADIS
2004
14 years 11 months ago
A Framework for Symbolic Distributed Computer-Aided Design over the Internet
Economical globalization and outsourcing have inspired the surge of research in distributed computer-aided design. This paper presents a framework for Internet-based symbolic dist...
Yingcai Xiao, Shivakumar Kubendrachari