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Why Is It Difficult to Detect Outbreaks in Twitter?

, , , , , и . Proceedings of the ACM SIGIR Workshop on Health Search and Discovery: Helping Users and Advancing Medicine (HSD'2013), (2013)

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Nattiya Kanhabua

 

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Analysing the duration of trending topics in Twitter using wikipedia., , , и . WebSci, стр. 251-252. ACM, (2014)Balancing Novelty and Salience: Adaptive Learning to Rank Entities for Timeline Summarization of High-impact Events., , , , и . CIKM, стр. 1201-1210. ACM, (2015)A Time-aware Random Walk Model for Finding Important Documents in Web Archives, , , и . Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, стр. 915--918. New York, NY, USA, ACM, (2015)Balancing Novelty and Salience: Adaptive Learning to Rank Entities for Timeline Summarization of High-impact Events., , , , и . CoRR, (2017)Characterizing High-impact Features for Content Retention in Social Web Applications, , , и . Proceedings of the 23rd International World Wide Web Conference (WWW'2014), (2014)Towards Concise Preservation by Managed Forgetting: Research Issues and Case Study, , и . Proceedings of the 10th International Conference on Preservation of Digital Objects (iPres), (2013)Estimating query difficulty for news prediction retrieval, и . Proceedings of the 21st ACM international conference on Information and knowledge management, стр. 2623--2626. New York, NY, USA, ACM, (2012)Those were the days: learning to rank social media posts for reminiscence, , , , и . Information Retrieval Journal, (11.08.2018)Leveraging Learning To Rank in an Optimization Framework for Timeline Summarization, , , , и . SIGIR 2013 Workshop on Time-aware Information Access (TAIA'2013), (2013)Characterizing high-impact features for content retention in social web applications, , , и . 23rd International World Wide Web Conference, WWW '14, Seoul, Republic of Korea, April 7-11, 2014, Companion Volume, стр. 559--560. (2014)