CompS18: SIGIR 2018 Workshop on Computational Surprise in Information Retrieval Montreal, Canada, July 12, 2018 |
Conference website | https://sites.google.com/view/computational-surprise2018/home |
Submission link | https://easychair.org/conferences/?conf=comps18 |
Submission deadline | May 4, 2018 |
International Workshop on Computational Surprise in Information Retrieval (CompS’18)
July 12, 2018, Ann Arbor, Michigan
HELD IN CONJUCTION WITH
SIGIR 2018
Call for Papers
Today we are exposed to vast amounts of information online and we often cope by paying attention to what well-known search engines or recommender systems can provide. Current information retrieval systems have been criticized as reinforcement of the same, relatively limited set of information rather than promoting unexpected exploration and discovery. The notions of “echo chambers” and “filter bubbles” are the prime motivations behind this workshop on computational surprise – breaking the chamber and bursting the bubble through thoughtful design of digital systems. We are interested in surprise and related aspects in the context of personalized and adaptive systems, such as search engines, recommender systems, user modeling.
Important Dates
- May 4, 2018: workshop papers due
- May 25, 2018: workshop paper notifications
- June 8, 2018: camera-ready deadline for workshop papers
- July 12, 2018: Workshop Day at SIGIR 2018
Topics of Interest
- Surprise, or unexpectedness, in retrieval and recommender systems
- Serendipity
- User-centered evaluation studies on aspects of surprise and serendipity
- Computational approaches to content discovery
- Inspirational recommender systems
- Computational novelty and curiosity
- Chance and randomness in intelligent systems
- Retrieval and recommender systems in creative domain, such as music creation
- Fake news detection and clickbait detection
Program Committee
- TBA
Organizers
- Xi Niu (University of North Carolina at Charlotte)
- Wlodek Zadrozny (University of North Carolina at Charlotte)
- Kazjon Grace (University of Sydney)
- Weimao Ke (Drexel University)