On-line new event detection and tracking
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
WikiPop: personalized event detection system based on Wikipedia page view statistics
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Understanding temporal query dynamics
Proceedings of the fourth ACM international conference on Web search and data mining
The impact of temporal intent variability on diversity evaluation
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
Temporal variance of intents in multi-faceted event-driven information needs
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Temporal summarization of event-related updates in wikipedia
Proceedings of the 22nd international conference on World Wide Web companion
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Time plays a central role in many web search information needs relating to recent events. For recency queries where fresh information is most desirable, there is likely to be a great deal of highly-relevant information created very recently by crowds of people across the world, particularly on platforms such as Wikipedia and Twitter. With so many users, mainstream events are often very quickly reflected in these sources. The English Wikipedia encyclopedia consists of a vast collection of user-edited articles covering a range of topics. During events, users collaboratively create and edit existing articles in near real-time. Simultaneously, users on Twitter disseminate and discuss event details, with a small number of users becoming influential for the topic. In this demo, we propose a novel approach to presenting a summary of new information and users related to recent or ongoing events associated with the user's search topic, therefore aiding most recent information discovery. We outline methods to detect search topics which are driven by events, identify and extract changing Wikipedia article passages and find influential Twitter users. Using these, we provide a system which displays familiar tiles in search results to present recent changes in the event-related Wikipedia articles, as well as Twitter users who have tweeted recent relevant information about the event topics.