CN-121996846-A - Content recommendation method and device and electronic equipment

Abstract

The application discloses a content recommendation method, a content recommendation device and electronic equipment, and belongs to the technical field of electronic equipment; and pushing first recommended content based on the external event under the condition that the user scene state meets a preset state triggering condition and the external event meets a preset event triggering condition.

Inventors

• XU XITAO
• SHAO SHENGJUN

Assignees

• 维沃移动通信有限公司

Dates

Publication Date

20260508

Application Date

20260130

Claims (11)

1. 1. A content recommendation method, the method comprising: Determining user intention according to the user input content; acquiring a user scene state and an external event corresponding to the user intention; And pushing first recommended content based on the external event under the condition that the user scene state is monitored to meet a preset state triggering condition and the external event meets a preset event triggering condition.
2. 2. The method of claim 1, wherein determining the user intent based on the user input content comprises: Determining an atomic intention corresponding to user input content, and extracting key parameters associated with the atomic intention; The obtaining the user scene state and the external event corresponding to the user intention comprises the following steps: And determining the external event to be focused on based on the key parameters.
3. 3. The method of claim 1, wherein the user context state comprises at least one of a traffic ticketing subscription state, an accommodation subscription state, a document handling state, a user geographic location; wherein the state trigger condition is a logic condition defined based on a combination of values of a plurality of state items in the user scene state.
4. 4. The method of claim 2, wherein the external event comprises at least one of a weather pre-warning event, a flight change event, a traffic control event, a security notification event provided in real-time by an external data source; and the value of the event region in the event triggering condition is set based on the destination parameter in the key parameters.
5. 5. The method of any of claims 1-4, wherein pushing the first recommended content based on the external event comprises: under the condition that a plurality of external events of different types exist and the respective corresponding event triggering conditions are met, determining a target event from the plurality of external events according to the emergency degree of each external event and the matching degree of each external event and the user scene state; And pushing the first recommended content based on the target event.
6. 6. A content recommendation device, the device comprising: the determining module is used for determining the intention of the user according to the input content of the user; The acquisition module is used for acquiring a user scene state and an external event corresponding to the user intention; The pushing module is used for pushing the first recommended content based on the external event under the condition that the user scene state is monitored to meet the preset state triggering condition and the external event meets the preset event triggering condition.
7. 7. The apparatus according to claim 6, wherein the determining module is specifically configured to determine an atomic intent corresponding to the user input content, and extract a key parameter associated with the atomic intent; The acquisition module is specifically configured to determine a user scene state to be monitored based on the atomic intent, and determine an external event to be focused based on the key parameter.
8. 8. The apparatus of claim 6, wherein the user context state comprises at least one of a traffic ticketing state, an accommodation booking state, a document handling state, a user geographic location, wherein the state trigger condition is a logical condition defined based on a combination of values of a plurality of state items in the user context state.
9. 9. The apparatus of claim 7, wherein the external event comprises at least one of a weather pre-warning event, a flight change event, a traffic control event, a security notification event provided in real-time by an external data source, wherein the value of the event zone in the event trigger condition is set based on a destination parameter of the key parameters.
10. 10. The apparatus according to any one of claims 6 to 9, wherein the pushing module is specifically configured to determine, when a plurality of different types of external events exist and each of the event triggering conditions is satisfied, a target event from the plurality of external events according to an emergency degree of each external event and a matching degree of each external event with the user scene state, and push the first recommended content based on the target event.
11. 11. An electronic device comprising a processor, a memory and a program or instruction stored on the memory and executable on the processor, which when executed by the processor, implements the steps of the content recommendation method of any one of claims 1-5.

Description

Content recommendation method and device and electronic equipment Technical Field The application belongs to the technical field of electronic equipment, and particularly relates to a content recommendation method and device and electronic equipment. Background With the rapid development of artificial intelligence technology, especially natural language processing and large model technology, intelligent assistant applications have been deeply integrated into the daily life and work scenarios of users. In order to reduce the usage threshold and enhance the interactive experience, such applications generally integrate content recommendation functionality to help users achieve goals more efficiently by actively and timely providing information or service guidance. In the related art, the recommendation method of the intelligent assistant application mainly adopts a random recommendation mechanism, and has the problem of insufficient recommendation accuracy. Disclosure of Invention The embodiment of the application aims to provide a content recommendation method, a content recommendation device and electronic equipment, which can improve the accuracy of recommended content. In a first aspect, an embodiment of the present application provides a content recommendation method, where the method includes: Determining user intention according to the user input content; acquiring a user scene state and an external event corresponding to the user intention; And pushing first recommended content based on the external event under the condition that the user scene state is monitored to meet a preset state triggering condition and the external event meets a preset event triggering condition. In a second aspect, an embodiment of the present application provides a content recommendation apparatus, including: the determining module is used for determining the intention of the user according to the input content of the user; The acquisition module is used for acquiring a user scene state and an external event corresponding to the user intention; The pushing module is used for pushing the first recommended content based on the external event under the condition that the user scene state is monitored to meet the preset state triggering condition and the external event meets the preset event triggering condition. In a third aspect, an embodiment of the present application provides an electronic device, including a processor, a memory, and a program or instructions stored on the memory and executable on the processor, the program or instructions implementing the steps of the content recommendation method according to the first aspect when executed by the processor. In a fourth aspect, embodiments of the present application provide a readable storage medium having stored thereon a program or instructions which, when executed by a processor, implement the steps of the content recommendation method according to the first aspect. In a fifth aspect, an embodiment of the present application provides a chip, the chip including a processor and a communication interface, the communication interface being coupled to the processor, the processor being configured to execute programs or instructions to implement the steps of the content recommendation method as in the first aspect. According to the embodiment of the application, user intention is determined according to user input content, a user scene state and an external event corresponding to the user intention are acquired, and under the condition that the user scene state is monitored to meet a preset state triggering condition and the external event meets a preset event triggering condition, first recommended content is pushed based on the external event. Therefore, in the embodiment of the application, the user intention is analyzed and the scene state of the user is continuously tracked, so that the close correlation between the recommended content and the current scene is ensured, and the accuracy of the recommended content is improved. Meanwhile, the external event associated with the intention is actively monitored, early warning or suggestion can be triggered at the first time when the objective environment change influences the decision, and the transition from passive response to active care is realized. In addition, the recommended action is triggered only when the condition that the user scene state meets the preset state triggering condition and the external event meets the preset event triggering condition is monitored, so that the method is accurate and timely. Drawings FIG. 1 is one of the flowcharts of a content recommendation method provided in an embodiment of the present application; FIG. 2 is a second flowchart of a content recommendation method according to an embodiment of the present application; FIG. 3 is an exemplary diagram of a content recommendation method according to an embodiment of the present application; FIG. 4 is a block diagram of a content recommendat