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Scalable clustering of news search results
2011
Proceedings of the fourth ACM international conference on Web search and data mining - WSDM '11
In this paper, we present a system for clustering the search results of a news search engine. The news search interface includes the relevant news articles to a given query organized in terms of related news stories. Here each cluster corresponds to a news story and the news articles are clustered into stories. We present a system that clusters the search results of a news search system in a fast and scalable manner. The clustering system is organized into three components including offline
doi:10.1145/1935826.1935918
dblp:conf/wsdm/VadrevuTRPDSCZ11
fatcat:wz6rd7osxjccdldyakftvw6azy