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US 10,834,218 B2Granted
Event information system classifying messages using machine learning classification model and pushing selected message to user
AssigneeTencent Technology (Shenzhen) Company Limited
InventorZheng Lu
Life of this patent
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Abstract
The present disclosure provides an event information push method performed at a computer system, the method including: collecting network messages from a social networking platform; performing aggregation on the network messages, to obtain corresponding event information; obtaining, for each piece of event information, one or more attributes from the corresponding category of network messages; obtaining, from an event information and user database, a user group corresponding to the one or more attributes of each piece of event information; and pushing each piece of event information to a user in the user group corresponding to the event information.
Claims20
An event information push method performed at a computer system having one or more processors and memory storing one or more programs to be executed by the one or more processors, the method comprising:
- collecting network messages associated with a first news event, wherein the network messages include (1) chat messages transmitted by a first user account of a social networking platform to other user accounts of the social networking platform and (2) post messages published by the other user accounts on the social networking platform within a predefined time window;
- clustering the collected network messages into one or more categories according to correlation degrees of the network messages, wherein a correlation degree between two of the network messages is dependent on content, a closeness in publish time, and user account relevance of the two messages;
- aggregating each category of network messages obtained through the clustering process into a corresponding piece of event information, wherein the piece of event information comprises content extracted from the category of network messages and organized by a time sequence of occurrence of the network messages within the predefined time window;
- obtaining, for each piece of event information, one or more attributes from the corresponding category of network messages, the one or more attributes of the event information comprising event content, a propagation path of the corresponding category of network messages, and associated user account information authoring the corresponding category of network messages;
- identifying a user group corresponding to the one or more attributes of each piece of event information, wherein the user group includes the first user account;
- and
- in response to a request for event information associated with the first news event from the first user account, pushing, to a mobile device associated with the first user account, each piece of event information corresponding to the first news event.
4 more elements
A computer system comprising:
- one or more processors;
- memory;
- and
- one or more programs stored in the memory that, when executed by the one or more processors, cause the computer system to perform a plurality of operations including:
- collecting network messages associated with a first news event, wherein the network messages include (1) chat messages transmitted by a first user account of a social networking platform to other user accounts of the social networking platform and (2) post messages published by the other user accounts on the social networking platform within a predefined time window;
- clustering the collected network messages into one or more categories according to correlation degrees of the network messages, wherein a correlation degree between two of the network messages is dependent on content, a closeness in publish time, and user account relevance of the two messages;
- aggregating each category of network messages obtained through the clustering process into a corresponding piece of event information, wherein the piece of event information comprises content extracted from the category of network messages and organized by a time sequence of occurrence of the network messages within the predefined time window;
- obtaining, for each piece of event information, one or more attributes from the corresponding category of network messages, the one or more attributes of the event information comprising event content, a propagation path of the corresponding category of network messages, and associated user account information authoring the corresponding category of network messages;
- identifying a user group corresponding to the one or more attributes of each piece of event information, wherein the user group includes the first user account;
- and
- in response to a request for event information associated with the first news event from the first user account, pushing, to a mobile device associated with the first user account, each piece of event information corresponding to the first news event.
8 more elements
A non-transitory computer readable storage medium storing one or more programs, wherein the one or more programs, when executed by one or more processors of a computer system, cause the computer system to perform a plurality of operations including:
- collecting network messages associated with a first news event, wherein the network messages include (1) chat messages transmitted by a first user account of a social networking platform to other user accounts of the social networking platform and (2) post messages published by the other user accounts on the social networking platform within a predefined time window;
- clustering the collected network messages into one or more categories according to correlation degrees of the network messages, wherein a correlation degree between two of the network messages is dependent on content, a closeness in publish time, and user account relevance of the two messages;
- aggregating each category of network messages obtained through the clustering process into a corresponding piece of event information, wherein the piece of event information comprises content extracted from the category of network messages and organized by a time sequence of occurrence of the network messages within the predefined time window;
- obtaining, for each piece of event information, one or more attributes from the corresponding category of network messages, the one or more attributes of the event information comprising event content, a propagation path of the corresponding category of network messages, and associated user account information authoring the corresponding category of network messages;
- identifying a user group corresponding to the one or more attributes of each piece of event information, wherein the user group includes the first user account;
- and
- in response to a request for event information associated with the first news event from the first user account, pushing, to a mobile device associated with the first user account, each piece of event information corresponding to the first news event.
4 more elements
Dependencies are inferred from the claim text.