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Technology Efficient Top-N Recommendation for Very Large Scale Binary Rated Datasets

1. ACM RecSys 2013, Hong KongFABIO AIOLLI UNIVERSITY OF PADOVA (ITALY)Efficient Top-N Recommendation for Very Large Scale Binary Rated Datasets16/10/2013F. Aiolli – Efficient…

Technology Efficient Top-N Recommendation by Linear Regression

1. Efficient Top-N Recommendation by Linear Regression Mark Levy Mendeley 2. What and why? ●Social network products @Mendeley 3. What and why? ●Social network products…

Technology Proactive Displays, UW DUB group, 16 July 2008

1.Proactive Displays: Bridging the Gaps betweenOnline Social Networks and Shared Physical Spaces Joe McCarthy Principal Instigator Strands Labs, Seattle2. Outline A few shameless…

Technology [SAC2014]Splitting Approaches for Context-Aware Recommendation: An Empirical Study

1. Splitting Approaches for Context-Aware Recommendation: An Empirical Study Yong Zheng, Robin Burke, Bamshad Mobasher Center for Web Intelligence DePaul University, Chicago,…

Engineering [WI 2014]Context Recommendation Using Multi-label Classification

1. Context Recommendation Using Multi-label Classification Yong Zheng, Bamshad Mobasher, Robin Burke Center for Web Intelligence, DePaul University, Chicago IEEE/WIC/ACM…

Education Introduction to Collaborative Filtering with Apache Mahout

13.09.2012 DIMA – TU Berlin 1 Database Systems and Information Management Group (DIMA) Technische Universität Berlin http://www.dima.tu-berlin.de/ An Introduction to Collaborative…

Engineering [UMAP 2015] Integrating Context Similarity with Sparse Linear Recommendation Model

1. Integrating Context Similarity with Sparse Linear Recommendation Model Yong Zheng, Bamshad Mobasher, Robin Burke Center for Web Intelligence, DePaul University, Chicago,…

Technology MIND MAP BASED USER MODELLING AND RECOMMENDER SYSTEM

1. Ms. Sunayana Gawde M.Tech. Part I 14109 2. • Mind-mapping is a technique to record and organize information, and to develop new ideas [Holland et al. 2004] • Mind-maps…

Documents Recommender Systems in 2012

1.acm recsys 2012:recommender systems, today@neal_lathia2. warning:daunting task lookout for twitter handles 3. why #recsys?information overloadmailing lists; usenet news…