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公开(公告)号：US11501225B2
公开(公告)日：2022-11-15
申请号：US17143524
申请日：2021-01-07
发明人： Yang Chen , Li Cao , Ya Ju Yan , Zhou Kun , Li Hong Qi , Xiao Juan Chen
摘要： An automated method for determining a complexity of a task. The method includes extracting data from the plurality of historical support tickets to generate training data. The method trains a complexity model to predict a complexity value of a task associated with a support ticket using the training data. The method predicts, using the complexity model, the complexity value of a new task associated with a new support ticket.
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公开(公告)号：US20240244026A1
公开(公告)日：2024-07-18
申请号：US18097860
申请日：2023-01-17
发明人： Jun Qin , Li Hong Qi , Shuan Shuan Chen , Yu Fen Yuan , Chen Hui Xu
IPC分类号： H04L51/216 , H04L51/04 , H04L51/226
CPC分类号： H04L51/216 , H04L51/04 , H04L51/226
摘要： A computer implemented method for creating a prioritized global conversation thread in a data processing system comprising a processing device and a memory comprising instructions which are executed by the processing device, the method can comprise receiving a plurality of messages from a plurality of message channels; combining a plurality of subsets of the plurality of messages to form a plurality of conversation threads, wherein each subset of the plurality of messages forms one of a plurality of the plurality of conversation threads; extracting a plurality of important messages from the plurality of conversation threads, wherein at least one important message of the plurality of important messages is extracted from each of the plurality of conversation threads; storing the plurality of important messages; determining, for each of the plurality of important messages, a message priority; and displaying, to a user, the plurality of important messages based on the message priority.
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公开(公告)号：US20200249809A1
公开(公告)日：2020-08-06
申请号：US16267984
申请日：2019-02-05
发明人： Yin Xia , Dong Chen , Huai Ying Xia , Ya Ju Yan , Li Hong Qi , Zhou Kun
IPC分类号： G06F3/0485 , G06F3/0481
摘要： Embodiments of the present invention include computer-implemented methods, computer systems, and computer program products for displaying messages based on categories. According to an embodiment, a computer-implemented method comprises: receiving, by a device operatively coupled to one or more processors, a request for displaying messages for a user based on categories; calculating, by the device, an importance score of each of the messages to the user; classifying, by the device, the messages into the categories based on calculated importance scores of the messages; and displaying, by the device, the messages for the user based on the categories.
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公开(公告)号：US12052211B1
公开(公告)日：2024-07-30
申请号：US18097860
申请日：2023-01-17
发明人： Jun Qin , Li Hong Qi , Shuan Shuan Chen , Yu Fen Yuan , Chen Hui Xu
IPC分类号： H04L51/216 , H04L51/04 , H04L51/226
CPC分类号： H04L51/216 , H04L51/04 , H04L51/226
摘要： A computer implemented method for creating a prioritized global conversation thread in a data processing system comprising a processing device and a memory comprising instructions which are executed by the processing device, the method can comprise receiving a plurality of messages from a plurality of message channels; combining a plurality of subsets of the plurality of messages to form a plurality of conversation threads, wherein each subset of the plurality of messages forms one of a plurality of the plurality of conversation threads; extracting a plurality of important messages from the plurality of conversation threads, wherein at least one important message of the plurality of important messages is extracted from each of the plurality of conversation threads; storing the plurality of important messages; determining, for each of the plurality of important messages, a message priority; and displaying, to a user, the plurality of important messages based on the message priority.
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公开(公告)号：US20220215328A1
公开(公告)日：2022-07-07
申请号：US17143524
申请日：2021-01-07
发明人： Yang Chen , Li Cao , Ya Ju Yan , Zhou Kun , Li Hong Qi , Xiao Juan Chen
摘要： An automated method for determining a complexity of a task. The method includes extracting data from the plurality of historical support tickets to generate training data. The method trains a complexity model to predict a complexity value of a task associated with a support ticket using the training data. The method predicts, using the complexity model, the complexity value of a new task associated with a new support ticket.
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