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RecSys: ACM Conference on Recommender Systems

SponsorACM SIGCHI SIGART SIGecom SIGWEB SIGIR SIGKDD
Years2007-
LinkConference Series Website
IdentifiersACM-DL - C.RecSys - DBLP
DescriptionRecommender 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.

Recent books and more information about recommender systems can be found here: http://recommenderbook.net/

NotesACM DL citation rate: 5.83 (2014)
Edition Year Dates Location Website HCIBib Links Papers Pages
1 2007 10-19 / 10-20 Minneapolis, Minnesota 38 212
2 2008 10-23 / 10-25 Lausanne, Switzerland 51 338
3 2009 10-23 / 10-25 New York, New York 84 428
4 2010 09-26 / 09-30 Barcelona, Spain 78 386
5 2011 10-23 / 10-27 Chicago, Illinois 75 398
6 2012 09-09 / 09-13 Dublin, Ireland 79 360
7 2013 10-12 / 10-16 Hong Kong, China 98 498
8 2014 10-06 / 10-10 Foster City, Silicon Valley, California 86 440
9 2015 09-16 / 09-20 Vienna, Austria 89 394