Towards Real-Time Crowd-Oriented Search and Computation
Event details
| Date | 28.10.2011 |
| Hour | 11:00 |
| Speaker | James Caverlee |
| Location |
INR219
|
| Category | Conferences - Seminars |
Online communities are the fastest growing phenomena on the Web, enabling millions of users to discover and explore community-based knowledge spaces. While long-lived communities have been one of the key organizing principles of these systems, there is widespread evidence of highly-dynamic, ad-hoc crowd formation in existing social systems. Examples range from users posting to Facebook in response to a live Presidential debate, to users sharing pictures about a chemical fire at a nearby refinery, to blog commenting about breaking news, and so on. These crowds are dynamically formed and potentially short-lived, often with only implicit signals of their formation at all. Identifying these highly-dynamic crowds from the massive scale of the real-time web, monitoring their quality, and connecting stakeholders to these crowds in real-time could revolutionize the decision-making of critical stakeholders. Unfortunately, existing search solutions cannot be directly applied to nascent crowds, leaving a significant research gap. In this talk, I will highlight our work towards developing real-time crowd-oriented search and computation systems, so that high-value stakeholders can monitor, analyze, and distill high-quality information from bursty social systems and actively engage with the crowds generating this information.
Practical information
- General public
- Free