Recommender systems are acknowledged as an essential instrument to support users in finding relevant information in an overloaded information space. While they have been proven successful in e.g., e-commerce applications, they can also support organizations in better identifying competences, help engage users in a continuous and dynamic knowledge exchange, and customize dissemination of knowledge as much as possible. Moreover, the advent of the big data era has posed the need for high scalability and real-time processing of frequent data updates, and thus, has brought new challenges for the recommender systems’ research community. The objective of this workshop is to bring together researchers and practitioners involved in developing, testing, and maintaining (social) recommender systems, especially in the light of big data. The workshop focuses on all aspects of recommender systems and big data analytics and it will provide a forum for discussing current practices and recent research results. RS-BDA'16 is co-located with i-KNOW 2016 (http://i-know.tugraz.at/).
Authors of long papers have 20 minutes dedicated for presenting their work and 10 minutes for discussion. Short papers are supposed to be presented in 15 minutes with 5 minutes allocated for discussion.
The main topic of this workshop is the broad research area of recommender systems and how it is connected with big data analytics. Thus, it is our main intention to bring together researchers and practitioners in these areas to discuss novel trends in analyzing big data for recommender systems. This workshop theme should be of great interest for i-KNOW 2016 attendees since both recommender systems and big data analytics are important research instruments at the intersection of the disciplines of knowledge discovery, Web & data science as well as social computing.
Overall topics to be adressed by this workshop include but are not limited to:
Within these topics, we encourage short research papers (2 - 4 pages) and long research papers (6 - 8 pages), both in ACM double-column conference paper style. All submitted papers must:
All papers will be peer-reviewed and must not be under review in any other conference, workshop or journal. Accepted papers will be published in CEUR (http://ceur-ws.org/) and best papers will be published in ACM Digitial Library (http://dl.acm.org/)
In order to support the scientific community we offer reduced prices to workshop participants: 480 euro for the full 2 day conference. This is not visible on the i-KNOW website. Workshop participants will receive a promotion code for the reduced pricing.
Please help us in making RS-BDA next year even better!
RS-BDA'16 is co-located with i-KNOW 2016 (http://i-know.tugraz.at/)
Messe Congress Graz