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Disambiguation of "Kanhabua, Nattiya"

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Analysing the duration of trending topics in Twitter using wikipedia.

, , , and . WebSci, page 251-252. ACM, (2014)

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Nattiya Kanhabua

 

Other publications of authors with the same name

A Time-aware Random Walk Model for Finding Important Documents in Web Archives, , , and . Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, page 915--918. New York, NY, USA, ACM, (2015)Balancing Novelty and Salience: Adaptive Learning to Rank Entities for Timeline Summarization of High-impact Events., , , , and . CoRR, (2017)Analysing the duration of trending topics in Twitter using wikipedia., , , and . WebSci, page 251-252. ACM, (2014)Towards Concise Preservation by Managed Forgetting: Research Issues and Case Study, , and . Proceedings of the 10th International Conference on Preservation of Digital Objects (iPres), (2013)Estimating query difficulty for news prediction retrieval, and . Proceedings of the 21st ACM international conference on Information and knowledge management, page 2623--2626. New York, NY, USA, ACM, (2012)Characterizing High-impact Features for Content Retention in Social Web Applications, , , and . Proceedings of the 23rd International World Wide Web Conference (WWW'2014), (2014)Balancing Novelty and Salience: Adaptive Learning to Rank Entities for Timeline Summarization of High-impact Events., , , , and . CIKM, page 1201-1210. ACM, (2015)Time-based query performance predictors, and . Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval, page 1181--1182. New York, NY, USA, ACM, (2011)Learning to rank search results for time-sensitive queries, and . Proceedings of the 21st ACM international conference on Information and knowledge management, page 2463--2466. New York, NY, USA, ACM, (2012)Bridging Temporal Context Gaps Using Time-aware Re-contextualization, , , and . Proceedings of the 37th International ACM SIGIR Conference on Research &\#38; Development in Information Retrieval, page 1127--1130. New York, NY, USA, ACM, (2014)