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The top documents tagged [latent features]
Presentations & Public Speaking
PhD Consortium ADBIS presetation
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Next directions in Mahout's recommenders
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Science
Deep Learning In Agriculture
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Memory vs. Model-based Approaches SVD & MF Based on the Rajaraman and Ullman book and the RS Handbook. See the Adomavicius and Tuzhilin, TKDE 2005 paper
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Technology
Beginners Guide to Non-Negative Matrix Factorization
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Technology
Summary of a Recommender Systems Survey paper
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Value Direct Profile
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Exploring Latent Features for Memory- Based QoS Prediction in Cloud Computing Yilei Zhang, Zibin Zheng, and Michael R. Lyu {ylzhang,zbzheng,lyu}@cse.cuhk.edu.hk
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Modeling and Exploiting QoS Prediction in Cloud and Service Computing Yilei Zhang Thesis Committee Chair: Prof. Pak Ching LEE Supervisor: Prof. Michael
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GAUSSIAN PROCESS FACTORIZATION MACHINES FOR CONTEXT-AWARE RECOMMENDATIONS Trung V. Nguyen, Alexandros Karatzoglou, Linas Baltrunas SIGIR 2014 Presentation:
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The Infinite Hierarchical Factor Regression Model Piyush Rai and Hal Daume III NIPS 2008 Presented by Bo Chen March 26, 2009
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TECHNISONIC A711L Series 3 rd Generation Advanced Analog audio. Full fail-passive capability. 7 Radios + PA, with 1-button transfer. Tactile, lighted controls
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