COMIGO REDEFINES THE TV EXPERIENCE infusing it with the full power of the Internet DRIVE REVENUE & ENGAGE VIEWERS with highly-relevant contextual services: PEDIA | Drive stickiness by enriching

Source URL: www.comigo.com

• Marketing
• Information science
• Media manipulation
• User interface techniques
• Advertising
• Communication design
• Product design
• Personalization

CONFIDENTIALITY CHARTER Gymglish Avril 15, 2016 v3.1 INTRODUCTION

Source URL: www.gymglish.com

• Internet privacy
• Social networking services
• Webmail
• HTTP cookie
• Google Analytics
• Personalization
• Outlook.com
• Facebook
• Yahoo! Mail
• Privacy concerns with social networking services
• Directive on Privacy and Electronic Communications

The Million Song Dataset Challenge Brian McFee∗ Thierry Bertin-Mahieux∗ CAL Lab

Source URL: bmcfee.github.io

• Information science
• Information retrieval
• Software
• Recommender systems
• Collective intelligence
• Music information retrieval
• Humancomputer interaction
• Collaborative filtering
• Information filtering system
• Personalization
• Mirex
• Last.fm

HOW SIGNIFICANT IS STATISTICALLY SIGNIFICANT? THE CASE OF AUDIO MUSIC SIMILARITY AND RETRIEVAL Juli´an Urbano University Carlos III of Madrid Brian McFee University of California at San Diego

Source URL: bmcfee.github.io

• Humancomputer interaction
• Natural language processing
• Recommender system
• User interface techniques
• Information retrieval
• Evaluation measures
• Crowdsourcing
• Evaluation
• Music information retrieval
• Mirex
• Personalization

™ A rapid innovation platform to personalize every customer experience Shopping is fundamentally personal and shopping experiences across every

Source URL: info.richrelevance.com

• Marketing
• Customer experience management
• Recommender systems
• E-commerce
• Richrelevance
• Personalization
• Omnichannel
• Touchpoint
• Customer experience

Microsoft Word - DL_7-g_2008-11-10

Source URL: curric.dlib.vt.edu

• Information science
• World Wide Web
• Humancomputer interaction
• Personalization
• Ambient intelligence
• Recommender systems
• Personalcasting

Expert Interview Series Stéphane Bérubé Chief Marketing Officer L’OREAL CANADA As the Chief Marketing Officer, Mr. Berube is in charge of creating a pool of knowledge, activities, and

Source URL: www.bigdata-toronto.com

• Marketing
• Professional studies
• Business
• E-commerce
• Customer experience management
• Chief marketing officer
• Personalization
• Customer relationship management
• Online shopping
• Shopper marketing
• Personalized marketing

Electronic Commerce Research and Applications xxxxxx–xxx Contents lists available at ScienceDirect Electronic Commerce Research and Applications journal homepage: www.elsevier.com/locate/ecra

Source URL: www.luckymoon.me

• Software
• Computing
• Digital media
• User interface techniques
• Humancomputer interaction
• Collective intelligence
• Recommender system
• Information systems
• Cold start
• Virtual reality
• Personalization
• Augmented reality

Rush: Repeated Recommendations on Mobile Devices Dominikus Baur University of Munich Sebastian Boring

Source URL: www.medien.ifi.lmu.de

• Humancomputer interaction
• User interface techniques
• Recommender systems
• ITunes
• Collective intelligence
• Collaborative filtering
• User interface
• Playlist
• Usability
• GroupLens Research
• IPhone
• Personalization

International Workshop on Adaptation, Personalization and REcommendation in the Social-semantic Web (APRESWWelcome & Introduction Iván Cantador1, Peter Mika2, David Vallet1, José C. Cortizo3, Francisco M. Carrer

Source URL: ir.ii.uam.es