COGNITUS project partners at The Universidade Nova de Lisboa, recently presented their work titled “Mining the behavior of crowds for time-aware learning to rank” at the 9th ACM International Conference on Web Search and Data Mining (WSDM) 2016, in San Francisco, USA.
In COGNITUS, the generation of new content by the crowd is often biased towards immediacy: what is happening now. Prompted by the propagation of commentary and information through multiple mediums, users on the Web interact with and produce UGC about newsworthy topics and give rise to trending topics. This paper proposes to leverage on the behavioral dynamics of users to estimate the most relevant time periods for a topic.
This is idea is crucial to identify relevant “episodes” of ongoing live events. Our approach will enable the summarization of events based on the temporal sequence of the sub-events.
