Strands Blog

We are pleased to invite you to participate in this first workshop on Recommender-based Industrial Applications, to be held on Sunday, October 25th, 2009 in New York City, USA, in conjunction with The 3rd ACM Conference on Recommender Systems (New York City, October 22-25, 2009).

Complete workshop schedule and details can be found here.

Recommender systems help users deal with large amounts of information by assisting them in their decision-making processes.  Recommender systems have been applied very successfully in a variety of domains, and one of their most exciting characteristics is that they combine interest from industry while posing very interesting research challenges, having significant impact on end user experience, and on business.

Motivation and Topics

Recommender-based industrial applications have hit the mainstream: they are being used today by millions of users in a variety of domains (e.g., film, music, book purchases, travel, advertising, etc.), having significant impact on end users and contributing to the generation of millions of dollars of revenue in some industries.

In addition, the explosion of social network websites, on-line user-generated content platforms, and tremendous growth in computational power of mobile devices are generating incredibly large amounts of user data, and an increasing desire of users to find what best matches their personal interests.  This is creating new technical challenges as well as new business opportunities.  However, in spite of significant progress in the research community, there are still important gaps in making accurate and timely recommendations in industrial applications.

This workshop aims at bringing the gap between academic researchers and industry practitioners on the area of Recommender Systems.  We are interested both in research work that faces real industry problems, and in industry cases that create research challenges.

We aim to discuss problems the industry is facing in real-world applications when applying recommendation and personalization techniques.  The goal is to bring together top-level researchers from academia and recommendation practitioners.  Ideally the workshop should serve to establish new collaborations and projects involving academic researchers and companies.

Topics of interest include industrial applications and research challenges related but not limited to:

• case studies of recommender system implementations and deployments
• personalization vs. content-based vs. collaborative-based applications
• evaluation and user studies of recommender systems
• recommendations in the long tail
• user preferences and recommender systems
• social and cultural impact of recommender systems
• security and privacy in recommender systems
• sparsity and lack of data in recommender systems
• context-aware and ubiquitousness in recommender systems
• user interfaces and usability issues in recommender systems
• scalability in large recommender systems
• new business models related to recommendation and personalization
• search vs. recommendation

Workshop Chairs

• Dr. Alejandro Jaimes, Telefonica Research
• Dr. Marc Torrens, Strands

Please address questions to recsys [at] strands.com.