发明名称 Identifying relevant messages in a conversation graph
摘要 A method, system, and non-transitory computer readable medium for identifying a relevant conversation. The method can include: identifying a conversation graph including identifiers of messages posted by a set of authoring accounts; identifying a relevance score for each authoring account; applying, by a computer processor, a first relevance filter to the conversation graph in order to modify the set of relevance scores; applying, by the computer processor and after applying the first relevance filter, a second relevance filter to the conversation graph in order to further modify the set of relevance scores; selecting, based on the set of relevance scores and after applying the second relevance filter, a subset of messages of the conversation graph for inclusion in the relevant conversation; and providing at least a portion of the relevant conversation to a client device.
申请公布号 US9449050(B1) 申请公布日期 2016.09.20
申请号 US201313770955 申请日期 2013.02.19
申请人 Twitter, Inc. 发明人 Molina Marcel;Cohen Ross;Maxwell Kyle;Hood Stuart;Meverden Cara;Baik Coleen
分类号 G06F15/16;G06F17/30 主分类号 G06F15/16
代理机构 Brakes Hughes Bellermann LLP 代理人 Brakes Hughes Bellermann LLP
主权项 1. A method for identifying a relevant conversation, comprising: identifying a conversation graph comprising identifiers of a plurality of messages posted by a plurality of authoring accounts; identifying a plurality of relevance scores, wherein each of the plurality of relevance scores corresponds to an authoring account of the plurality of authoring accounts; applying, by a computer processor, a first relevance filter to the conversation graph in order to modify the plurality of relevance scores; applying, by the computer processor and after applying the first relevance filter, a second relevance filter to the conversation graph in order to further modify the plurality of relevance scores; selecting, based on the plurality of relevance scores and after applying the second relevance filter, a subset of messages of the conversation graph for inclusion in the relevant conversation; and providing at least a portion of the relevant conversation to a client device.
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