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公开(公告)号:US20230306068A1
公开(公告)日:2023-09-28
申请号:US17805970
申请日:2022-06-08
申请人: Twitter, Inc.
发明人: Rishabh Misra , Rohit Jain , Tommy Chong , Vivek Nagubadi
IPC分类号: G06F16/9538 , H04L51/52 , G06F16/9536
CPC分类号: G06F16/9538 , G06F16/9536 , H04L51/52
摘要: According to an aspect, a method includes receiving, over a network, a conversation view request to retrieve messages from a conversation graph stored on a messaging platform from a first user account, generating a ranked list of messages for at least a portion of the messages from the conversation graph, identifying, from the ranked list of messages, a message authored by a second user account having an indirect relationship to the first user account in an engagement graph, selecting a social context object for the message based on a type of the indirect relationship, and transmitting, over the network, information to display the message and the social context object, the social context object providing information about the type of the indirect relationship.
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公开(公告)号:US20230252085A1
公开(公告)日:2023-08-10
申请号:US17805968
申请日:2022-06-08
申请人: Twitter, Inc.
发明人: Rishabh Misra , Rohit Jain , Tommy Chong , Vivek Nagubadi
IPC分类号: G06F16/9038 , H04L51/216 , G06F16/901 , G06F16/9032
CPC分类号: G06F16/9038 , G06F16/9024 , G06F16/90332 , H04L51/216
摘要: According to an aspect, a messaging system comprising at least one processor and a non-transitory computer-readable medium storing executable instructions that when executed by the at least one processor cause the at least one processor to obtain a system load metric associated with a messaging platform, compute a pruning factor based on the system load metric, rank messages of a conversation graph using a plurality of first signals to form an intermediate ranked list, prune the intermediate rank list according to the pruning factor to obtain a candidate subset of messages, rank the candidate subset of messages using a plurality of second signals to form a ranked list of messages, and transmit, over a network, information to render at least a portion of the ranked list on a client application.
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