Interactive Topic Analysis with Visual Analytics and Recommender Systems Eduardo Veas1,2 Cecilia di Sciascio2 1

Source URL: cognitum.ws

Digital Library Curriculum Development Module 7-c: Recommender Systems (Draft, )

Source URL: curric.dlib.vt.edu

• Information science
• Recommender systems
• Information systems
• Computing
• Collective intelligence
• Information retrieval
• Humancomputer interaction
• Collaborative filtering
• Cold start
• Preference elicitation
• Information filtering system
• Personalization

Chao-Yuan Wu | | http://chaoyuan.org RESEARCH INTERESTS Statistical machine learning, neural netwoks, and recommender systems.

Source URL: www.andrew.cmu.edu

• Stochastic processes
• Recommender system
• Dirichlet process
• Machine learning

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

Matrix Factorization and Factorization Machines for Recommender Systems Chih-Jen Lin Department of Computer Science National Taiwan University

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

Matrix Factorization and Factorization Machines for Recommender Systems Chih-Jen Lin Department of Computer Science National Taiwan University

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

Collaborative Filtering for Implicit Feedback Datasets Yifan Hu AT&T Labs – Research Florham Park, NJYehuda Koren∗

Source URL: yifanhu.net

• Information science
• Information retrieval
• Collective intelligence
• Collaboration
• Information
• Recommender systems
• Collaborative filtering
• Personalization
• Cold start

Benchmarking News Recommendations in a Living Lab Frank Hopfgartner1 , Benjamin Kille1 , Andreas Lommatzsch1 , Till Plumbaum1 , Torben Brodt2 , and Tobias Heintz2 1

Source URL: eprints.gla.ac.uk

• Recommender systems
• Collective intelligence
• Information systems
• Humancomputer interaction
• Collaborative filtering
• Cold start
• Personalization
• Text Retrieval Conference
• Session
• GroupLens Research
• Item-item collaborative filtering

Recommendation Based on Deduced Social Networks in an Educational Digital Library Monika Akbar Clifford A. Shaffer

Source URL: www.cs.utep.edu

• Collective intelligence
• Information science
• Collaboration
• Recommender systems
• Regression analysis
• Information retrieval
• Logistic regression
• Collaborative filtering
• Social navigation
• Usability
• Data source name

Research Project CS 4379Q/5369Q — Recommender Systems OVERVIEW For this project, you will conduct a research project on recommender systems.

Source URL: md.ekstrandom.net