Turning Down the Noise in the Blogosphere Khalid El-Arini∗ Gaurav Veda∗ Carlos Guestrin∗

Source URL: select.cs.cmu.edu

• Information science
• Submodular set function
• World Wide Web
• Personalization
• Loss function
• Algorithm
• Statistics
• Information

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

TORONTOINTERVIEW N°2

Source URL: www.bigdata-toronto.com

• Information science
• Computing
• Data management
• Software
• Big data
• Personalization
• Marketing
• Fitbit

Player Adaptive Entertainment Computing (PAEC): Mechanism to Model User Satisfaction by Using Neuro Linguistic Programming (NLP) Techniques Andrew Chiou, Member, IEEE and Kok Wai Wong, Senior Member, IEEE experience for

Source URL: www.csse.uwa.edu.au

• Pseudoscience
• Neuro-linguistic programming
• Game design
• Computer chess
• Fig
• Personalization
• Board game
• Gameplay
• Ambient intelligence

Transparent User Models for Personalization ∗ Carnegie Mellon University Pittsburgh, PA

Source URL: select.cs.cmu.edu

• Software
• Computing
• Social networking services
• Statistical natural language processing
• Social information processing
• Social media
• Geosocial networking
• Latent Dirichlet allocation
• Recommender system
• Personalization
• Collaborative filtering
• Twitter

Recommender Systems for the People — Enhancing Personalization in Web Augmentation ∗ Martin Wischenbart CIS, Johannes Kepler University Linz, Austria

Source URL: ceur-ws.org

FOR IMMEDIATE RELEASE Inform Technologies Captures the Interest Graph with New Semantic Service Offerings Personalization for Enhanced Targeting SAN FRANCISCO, CA - June 6, Inform Technologies, a leading developer

Source URL: semtech2011.semanticweb.com

Experimental measures of news personalization in Google News? Vittoria Cozza1,2 , Van Tien Hoang3 , Marinella Petrocchi1 , and Angelo Spognardi1,4 1

Source URL: www.ebusiness-lab.gr

Course Syllabus CS 4379Q/5369Q: Recommender Systems Course Information This course covers the basic concepts of recommender systems, including personalization algorithms, evaluation tools, and user experiences. We will d

Source URL: md.ekstrandom.net