Echo
2009.Upfront.Use1
1 hudson yards project (peter wertheim)
University of Minnesota Location-based & Preference-Aware Recommendation Using Sparse Geo-Social Networking Data Location-based & Preference-Aware Recommendation.
The Beginner's Guide to Multicopters 06292012
Super High-speed Miniaturized PMSM
Validation of English and Spanish Versions of a Client Progress Measure for Use in Healthcare-based Domestic Violence Programs Authors: Jeanne Hathaway,
EigenRank: A ranking oriented approach to collaborative filtering By Nathan N. Liu and Qiang Yang Presented by Zachary 1.
Anonymized Data: Generation, Models, Usage Graham Cormode Divesh Srivastava {graham,divesh}@research.att.com Slides: Part 1.
1 LCARS: A Location-Content-Aware Recommender System Hongzhi Yin †, Yizhou Sun ‡, Bin Cui † Zhiting Hu †, Ling Chen † Peking University ‡ Northeastern.
Lesson Two The Airman Specialty or “Rate” (1 + 00 hr) The “Brown Shoe” Navy (1 + 00 hrs)
WEMAREC: Accurate and Scalable Recommendation through Weighted and Ensemble Matrix Approximation 1.
