# US 2025/0147735 A1 · Method, apparatus, device and storage medium for message processing > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2025/0147735 A1 - Document ID: US20250147735A1 - Status: Published application - Kind: A1 - Application number: 18/941,704 - Filed: 2024-11-08 - Published: 2025-05-08 - Earliest claimed: 2023-11-08 - Applicants: Beijing Zitiao Network Technology Co., Ltd. - Inventors: Yiyu He; Jiangwen Wang; Zhong Wang; Qingyu Zhang - Web page: https://patentgrep.com/patent/US20250147735A1 ## CPC - G06F 8/31: {Programming languages or programming paradigms} - H04L 51/02: using automatic reactions or user delegation, e.g. automatic replies or chatbot-generated messages - G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N) - H04L: TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION (arrangements common to telegraphic and telephonic communication H04M) ## Abstract The embodiments of the disclosure provides methods, apparatuses, devices, and storage medium for message processing. The method includes: receiving, in an interaction between a user and a digital assistant, a conversation message of the user for the digital assistant; determining a processing result for the conversation message by a model, the processing result indicating target content matching a user requirement corresponding to the conversation message; and presenting, based on a first message presentation mode corresponding to an interaction channel in which the conversation message is received, a reply message of the digital assistant for the conversation message in the interaction channel, the reply message presenting at least a portion of the target content. ## Claims ### Claim 1 A method for message processing, comprising: receiving, in an interaction between a user and a digital assistant, a conversation message of the user for the digital assistant; determining a processing result for the conversation message by a model, the processing result indicating target content matching a user requirement corresponding to the conversation message; and presenting, based on a first message presentation mode corresponding to an interaction channel in which the conversation message is received, a reply message of the digital assistant for the conversation message in the interaction channel, the reply message presenting at least a portion of the target content. ### Claim 2 (depends on 1) The method of claim 1, wherein the processing result is represented in a second computer language, and wherein presenting the reply message for the digital assistant for the conversation message comprises: determining a first computer language supported by the interaction channel based on the first message presentation mode; converting the processing result from the second computer language to description information in the first computer language; and presenting the reply message based on the description information. ### Claim 3 (depends on 2) The method of claim 2, wherein the model is trained based on the second computer language. ### Claim 4 (depends on 2) The method of claim 2, wherein the second computer language comprises a markup language. ### Claim 5 (depends on 1) The method of claim 1, wherein the digital assistant is capable of being triggered for interaction in a plurality of interaction channels, and wherein the plurality of interaction channels has respective message presentation modes and support respective computer languages. ### Claim 6 (depends on 5) The method of claim 5, wherein presenting the reply message of the digital assistant for the conversation message comprises: determining, from the plurality of interaction channels, the interaction channel in which the conversation message is received; and presenting, in the interaction channel, the reply message of the digital assistant for the conversation message based on the first message presentation mode corresponding to the determined interaction channel. ### Claim 7 (depends on 1) The method of claim 1, wherein the respective message presentation modes of the plurality of interaction channels are determined based on respective conversational user interface, CUI, capabilities of the plurality of interaction channels. ### Claim 8 (depends on 1) The method of claim 1, wherein the processing result indicates presenting the target content in a target data statistical form, and presenting the reply message of the digital assistant for the conversation message in the interaction channel comprises: determining, in the first message presentation mode, a presentation style predefined for the target data statistical form; and presenting the target content in the reply message according to the presentation style. ### Claim 9 (depends on 8) The method of claim 8, wherein the target data statistical form comprises at least one of the following: a chart type, or a form type. ### Claim 10 An electronic device comprising: at least one processing unit; and at least one memory coupled to the at least one processing unit and storing instructions for execution by the at least one processing unit, the instructions, when executed by the at least one processing unit, causing the electronic device to perform acts comprising: receiving, in an interaction between a user and a digital assistant, a conversation message of the user for the digital assistant; determining a processing result for the conversation message by a model, the processing result indicating target content matching a user requirement corresponding to the conversation message; and presenting, based on a first message presentation mode corresponding to an interaction channel in which the conversation message is received, a reply message of the digital assistant for the conversation message in the interaction channel, the reply message presenting at least a portion of the target content. ### Claim 11 (depends on 10) The electronic device of claim 10, wherein the processing result is represented in a second computer language, and wherein presenting the reply message for the digital assistant for the conversation message comprises: determining a first computer language supported by the interaction channel based on the first message presentation mode; converting the processing result from the second computer language to description information in the first computer language; and presenting the reply message based on the description information. ### Claim 12 (depends on 11) The electronic device of claim 11, wherein the model is trained based on the second computer language. ### Claim 13 (depends on 11) The electronic device of claim 11, wherein the second computer language comprises a markup language. ### Claim 14 (depends on 10) The electronic device of claim 10, wherein the digital assistant is capable of being triggered for interaction in a plurality of interaction channels, and wherein the plurality of interaction channels has respective message presentation modes and support respective computer languages. ### Claim 15 (depends on 14) The electronic device of claim 14, wherein presenting the reply message of the digital assistant for the conversation message comprises: determining, from the plurality of interaction channels, the interaction channel in which the conversation message is received; and presenting, in the interaction channel, the reply message of the digital assistant for the conversation message based on the first message presentation mode corresponding to the determined interaction channel. ### Claim 16 (depends on 10) The electronic device of claim 10, wherein the respective message presentation modes of the plurality of interaction channels are determined based on respective conversational user interface, CUI, capabilities of the plurality of interaction channels. ### Claim 17 (depends on 10) The electronic device of claim 10, wherein the processing result indicates presenting the target content in a target data statistical form, and presenting the reply message of the digital assistant for the conversation message in the interaction channel comprises: determining, in the first message presentation mode, a presentation style predefined for the target data statistical form; and presenting the target content in the reply message according to the presentation style. ### Claim 18 (depends on 17) The electronic device of claim 17, wherein the target data statistical form comprises at least one of the following: a chart type, or a form type. ### Claim 19 A non-transitory computer-readable storage medium having a computer program stored thereon, the computer program being executable by a processor to implement acts comprising: receiving, in an interaction between a user and a digital assistant, a conversation message of the user for the digital assistant; determining a processing result for the conversation message by a model, the processing result indicating target content matching a user requirement corresponding to the conversation message; and presenting, based on a first message presentation mode corresponding to an interaction channel in which the conversation message is received, a reply message of the digital assistant for the conversation message in the interaction channel, the reply message presenting at least a portion of the target content. ### Claim 20 (depends on 19) The non-transitory computer-readable storage medium of claim 19, wherein the processing result is represented in a second computer language, and wherein presenting the reply message for the digital assistant for the conversation message comprises: determining a first computer language supported by the interaction channel based on the first message presentation mode; converting the processing result from the second computer language to description information in the first computer language; and presenting the reply message based on the description information.