Analysis of Subtopic Discovery Algorithms for Real-time Information Summarization.
WWW '18: The Web Conference 2018 Lyon France April, 2018(2018)
摘要
The rise of large data streams introduces new challenges regarding the delivery of relevant content towards an information need. This need can be seen as a broad topic of information. By identifying sub-streams within a broader data stream, we can retrieve relevant content that matches the multiple facets of the topic; thus summarizing information, and matching the initial need. In this paper, we propose to study the generation of sub-streams over time and compare various aggregation methods to summarize information. Our experiments were made using the standard TREC Real-Time Summarization (RTS) 2017 dataset.
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关键词
subtopic discovery algorithms,analysis,real-time
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