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» Methods for boosting recommender systems
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ACL
2010
13 years 5 months ago
Bridging SMT and TM with Translation Recommendation
We propose a translation recommendation framework to integrate Statistical Machine Translation (SMT) output with Translation Memory (TM) systems. The framework recommends SMT outp...
Yifan He, Yanjun Ma, Josef van Genabith, Andy Way
ACHI
2009
IEEE
14 years 2 months ago
Knowledge Reuse through Categorical Breakdown Analysis: A Method for Collaborative Systems Evaluation
Designing CSCW systems that support the widely varying needs of targeted users is difficult. There is no silver bullet technology that enables users to effectively collaborate wit...
Will Humphries, D. Scott McCrickard, Dennis C. Nea...
SIGIR
2011
ACM
12 years 10 months ago
Functional matrix factorizations for cold-start recommendation
A key challenge in recommender system research is how to effectively profile new users, a problem generally known as cold-start recommendation. Recently the idea of progressivel...
Ke Zhou, Shuang-Hong Yang, Hongyuan Zha
WWW
2010
ACM
14 years 2 months ago
Collaborative location and activity recommendations with GPS history data
With the increasing popularity of location-based services, such as tour guide and location-based social network, we now have accumulated many location data on the Web. In this pap...
Vincent Wenchen Zheng, Yu Zheng, Xing Xie, Qiang Y...
CSE
2009
IEEE
14 years 2 months ago
TagRec: Leveraging Tagging Wisdom for Recommendation
—Due to the exponential growth of information on the Web, Recommender Systems have been developed to generate suggestions to help users overcome information overload and sift thr...
Tom Chao Zhou, Hao Ma, Irwin King, Michael R. Lyu