Factorization Machines Steffen Rendle Department of Reasoning for Intelligence The Institute of Scientific and Industrial Research Osaka University, Japan

Source URL: www.csie.ntu.edu.tw

MyMediaLite: A Free Recommender System Library Zeno Gantner, Steen Rendle, Christoph Freudenthaler, Lars Schmidt-Thieme , ste, ,

Source URL: mymedialite.net

• Recommender system
• Collaboration
• Free statistical software
• Slope One
• GraphLab
• SageMath
• R

BPR: Bayesian Personalized Ranking from Implicit Feedback Steffen Rendle, Christoph Freudenthaler, Zeno Gantner and Lars Schmidt-Thieme {srendle, freudenthaler, gantner, schmidt-thieme}@ismll.de Machine Learning Lab, Un

Source URL: www.algo.uni-konstanz.de

• Algebra
• Mathematics
• Information science
• Linear algebra
• Matrix theory
• Recommender systems
• Statistical theory
• Collaborative filtering
• Machine learning
• Loss function
• Singular value decomposition
• Artificial neural network

Factorization Machines Steffen Rendle Department of Reasoning for Intelligence The Institute of Scientific and Industrial Research Osaka University, Japan

Source URL: www.ismll.uni-hildesheim.de

Carlin & Rendle-Short Introduction   RMIT University

Source URL: www.textjournal.com.au

• Literary genres
• Guggenheim Fellows
• Writing
• Narratology
• Robin Hemley
• Creative nonfiction
• Narrative journalism
• Non-fiction
• David Foster Wallace
• Literature
• Journalism genres
• Genres

Carlin & Rendle-Short Nonfiction now RMIT University David Carlin and Francesca Rendle-Short

Source URL: www.textjournal.com.au

• Journalism genres
• Writing
• Creative Nonfiction
• Lee Gutkind
• Joan Didion
• Non-fiction
• Literature
• Genres
• Literary genres

Microsoft Word - 15 Rendle-Short.doc

Source URL: www.textjournal.com.au

• Nigel Krauth
• Yo Gabba Gabba!
• Television

ARTISTS SELECTED FOR THE OPEN CATEGORY Ann Arora Threshold Bernhardine Mueller Granny’s Apple Pie and Bush Bride

Source URL: www.ryde.nsw.gov.au

• Sturgess
• Tetyana
• Boxtel
• Mythology
• Religion
• Van Boxtel
• Nüwa
• Rendle

Factor Models for Tag Recommendation in BibSonomy Steffen Rendle and Lars Schmidt-Thieme Machine Learning Lab, University of Hildesheim, Germany {srendle,schmidt-thieme}@ismll.uni-hildesheim.de

Source URL: www.kde.cs.uni-kassel.de

Leandro Balby Marinho, Andreas Hotho, Robert J¨aschke, Alexandros Nanopoulos, Steffen Rendle, Lars Schmidt-Thieme, Gerd Stumme and Panagiotis Symeonidis Recommender Systems for Social

Source URL: www.kbs.uni-hannover.de

• Data
• Social bookmarking
• Knowledge representation
• Metadata
• Recommender system
• Folksonomy
• Tag
• BibSonomy
• GroupLens Research
• Information
• Collective intelligence
• Web 2.0