We are pleased to invite you to participate in this premier annual event on research and applications of recommender technologies.
The 3rd ACM Conference on Recommender Systems builds on the success of Recommenders 06 Summer School in Bilbao, Spain; the 1st Conference in Minneapolis, USA; and the 2nd Conference in Lausanne, Switzerland. In these events many members of the practitioner and research communities valued the rich exchange of ideas made possible by the shared plenary sessions. The 3rd conference will promote the same close interaction among practitioners and researchers, reaching a wider range of participants including those from Europe and Asia. Published papers will go through a full peer review process. The conference proceedings are expected to be widely read and cited.
In addition to a regular technical program, there will be tutorials covering the state-of-the-art of this domain, a doctoral consortium, and an industrial program comprising of keynote speakers and practice/industry-paper tracks.
Recommender systems are software applications that aim to support users in their decision-making while interacting with large information spaces. They recommend items of interest to users based on preferences they have expressed, either explicitly or implicitly. The ever-expanding volume and increasing complexity of information on the Web has therefore made such systems essential tools for users in a variety of information seeking or e-commerce activities. Recommender systems help overcome the information overload problem by exposing users to the most interesting items, and by offering novelty, surprise, and relevance. Recommender technology is hence the central piece of the information seeking puzzle. Major e-commerce sites such as Amazon and Yahoo are using recommendation technology in ubiquitous ways. Many new comers are on their way and entrepreneurs are competing in order to find the right approach to use this technology effectively.
Some say that recommendation technology represents the new paradigm of search: interesting items find the user instead of the user explicitly searching for them. In an article published in CNN Money, entitled “The race to create a 'smart' Google”, Fortune magazine writer Jeffrey M. O'Brien, writes:
The success of this conference depends on your generous support. New York University has taken the lead in sponsoring this conference.
As an official sponsor of Recommenders Systems 2009, you will have the opportunity to reach a unique audience composed of leading researchers in the dynamic field of Recommender Systems. We highly encourage potential sponsors to contact us. More details about the different forms of sponsorship can be found here.