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Characterizing High-impact Features for Content Retention in Social Web Applications

, , , and . Proceedings of the 23rd International World Wide Web Conference (WWW'2014), (2014)

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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)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)Characterizing High-impact Features for Content Retention in Social Web Applications, , , and . Proceedings of the 23rd International World Wide Web Conference (WWW'2014), (2014)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)Analysing the duration of trending topics in Twitter using wikipedia., , , and . WebSci, page 251-252. ACM, (2014)Balancing Novelty and Salience: Adaptive Learning to Rank Entities for Timeline Summarization of High-impact Events., , , , and . CIKM, page 1201-1210. ACM, (2015)Characterizing high-impact features for content retention in social web applications, , , and . 23rd International World Wide Web Conference, WWW '14, Seoul, Republic of Korea, April 7-11, 2014, Companion Volume, page 559--560. (2014)Mining Relevant Time for Query Subtopics in Web Archives, , , and . Proceedings of the 24th International Conference on World Wide Web, page 1357--1362. New York, NY, USA, ACM, (2015)Those were the days: learning to rank social media posts for reminiscence, , , , and . Information Retrieval Journal, (Aug 11, 2018)