CN-121997933-A - Target information processing method and device, electronic equipment and computer program product

CN121997933ACN 121997933 ACN121997933 ACN 121997933ACN-121997933-A

Abstract

The application provides a target information processing method, a target information processing device, electronic equipment and a computer program product, belongs to the field of data processing, and aims to solve the problems of information fragment, noise interference, insufficient self-adaptive capacity and the like in the existing method. The method comprises the steps of obtaining historical information and current target information, obtaining a historical semantic baseline pool according to the historical information, determining the increment value of the current target information based on the historical semantic baseline pool, responding to the fact that the current target information has the increment value, processing the current target information to obtain structural information of the current target information, determining comprehensive weight values of the current target information through a multidimensional scoring model based on the structural information, generating target content of the current target information according to the comprehensive weight values, and adjusting parameters of the multidimensional scoring model according to feedback data of the target content.

Inventors

LI TAO
QIN ZHE

Assignees

郑州阿帕斯数云信息科技有限公司

Dates

Publication Date: 20260508
Application Date: 20251230

Claims (10)

1. A method for processing target information, the method comprising the steps of: Acquiring historical information and current target information, acquiring a historical semantic baseline pool according to the historical information, and determining the increment value of the current target information based on the historical semantic baseline pool; Responding to the current target information with the increment value, and processing the current target information to obtain the structured information of the current target information; Based on the structured information, determining a comprehensive weight value of the current target information through a multidimensional scoring model; And generating target content of the current target information according to the comprehensive weight value, and adjusting parameters of the multi-dimensional scoring model according to feedback data of the target content.
2. The method of claim 1, wherein the obtaining historical information and current target information, obtaining a historical semantic baseline pool from the historical information, and determining an incremental value of the current target information based on the historical semantic baseline pool, comprises the steps of: Extracting semantic feature vectors of each piece of history information to form a history semantic baseline pool; Extracting semantic feature vectors of the current target information, calculating the similarity between the semantic feature vectors of the current target information and vectors in the historical semantic baseline pool, and determining the increment value of the current target information relative to the historical information according to the similarity.
3. The method according to claim 2, wherein said determining the incremental value of the current target information relative to the historical information based on the similarity comprises the steps of: Under the condition that the similarity is higher than a first threshold value, judging the current target information to be redundant information; And under the condition that the similarity is between a first threshold value and a second threshold value, and the current target information comprises new entity information, judging that the current target information is evolution information.
4. The method of claim 1, wherein processing the current target information to obtain structured information of the current target information in response to the current target information having an incremental value comprises the steps of: Acquiring one or more links associated with the current target information through a link discovery model; semantic analysis is carried out on the content pointed by the link through a content analysis model; And cleaning, deduplicating and entity recognition processing are carried out on the result of the semantic analysis, and structured information with predefined fields is generated.
5. The method according to claim 1, wherein said determining the comprehensive weight value of the current target information by a multidimensional scoring model based on the structured information comprises the steps of: The multidimensional scoring model evaluates the current target information from a content dimension and a source dimension by analyzing the structured information to obtain a content dimension score and a source dimension score; and carrying out weighted summation on the content dimension scores and the source dimension scores to obtain the comprehensive weight value.
6. The method according to claim 1, wherein the generating the target content of the current target information according to the comprehensive weight value, and adjusting the parameters of the multi-dimensional scoring model according to the feedback data of the target content, comprises the following steps: sorting the plurality of current target information based on the respective comprehensive weight values; and generating a structured summary as the target content through a large language model according to the sorting result.
7. The method according to claim 1, wherein the generating the target content of the current target information according to the comprehensive weight value, and adjusting the parameters of the multi-dimensional scoring model according to the feedback data of the target content, comprises the following steps: Collecting feedback data of the target content, wherein the feedback data comprises click behavior data or reading duration data; and adjusting weight coefficients used by the multi-dimensional scoring model in determining the comprehensive weight value according to the feedback data.
8. A processing apparatus of object information, characterized in that the apparatus comprises: the acquisition module is used for acquiring historical information and current target information, acquiring a historical semantic baseline pool according to the historical information, and determining the increment value of the current target information based on the historical semantic baseline pool; The processing module is used for responding to the fact that the current target information has incremental value, processing the current target information and obtaining structural information of the current target information; a scoring module for determining a comprehensive weight value of the current target information through a multidimensional scoring model based on the structured information, and And the generation module is used for generating target content of the current target information according to the comprehensive weight value and adjusting parameters of the multi-dimensional scoring model according to feedback data of the target content.
9. An electronic device comprising a processor, a memory, a program or instructions stored on the memory and executable on the processor, which program or instructions, when executed by the processor, implement the steps of the method of processing target information according to any one of claims 1 to 7.
10. A computer program product, characterized in that the computer program product comprises a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, implement the steps of the method of processing target information according to any of claims 1 to 7.

Description

Target information processing method and device, electronic equipment and computer program product Technical Field The present application relates to the field of data processing, and in particular, to a method, an apparatus, an electronic device, and a computer program product for processing target information. Background The existing information aggregation and news processing systems mainly have the following limitations. Firstly, the traditional method generally processes information in a unit of day in an isolated way, and lacks the time sequence modeling capability of event continuity and development venation, so that the information is presented with fragmentation, and a user is difficult to grasp the evolution background and incremental value of the information. Secondly, information collection depends on web crawlers based on fixed rules, adaptability and generalization capability are insufficient, and unstructured pages or dynamic loading contents cannot be effectively captured. Finally, the information evaluation and screening mechanism usually adopts a single dimension, so that propaganda content and substantial technical progress cannot be distinguished, and differentiated weighting is difficult to be carried out on different sources or entities, so that information overload and high-quality information are submerged. Disclosure of Invention The embodiment of the application provides a target information processing method, device, electronic equipment and computer program product, which can solve the problems of information fragment, noise interference, insufficient self-adaptive capacity and the like existing in the existing method. In a first aspect, an embodiment of the present application provides a method for processing target information, where the method includes the following steps: Acquiring historical information and current target information, acquiring a historical semantic baseline pool according to the historical information, and determining the increment value of the current target information based on the historical semantic baseline pool; Responding to the current target information with the increment value, and processing the current target information to obtain the structured information of the current target information; Based on the structured information, determining a comprehensive weight value of the current target information through a multidimensional scoring model; And generating target content of the current target information according to the comprehensive weight value, and adjusting parameters of the multi-dimensional scoring model according to feedback data of the target content. In a second aspect, an embodiment of the present application provides a processing apparatus for target information, including: the acquisition module is used for acquiring historical information and current target information, acquiring a historical semantic baseline pool according to the historical information, and determining the increment value of the current target information based on the historical semantic baseline pool; The processing module is used for responding to the fact that the current target information has incremental value, processing the current target information and obtaining structural information of the current target information; a scoring module for determining a comprehensive weight value of the current target information through a multidimensional scoring model based on the structured information, and And the generation module is used for generating target content of the current target information according to the comprehensive weight value and adjusting parameters of the multi-dimensional scoring model according to feedback data of the target content. In a third aspect, an embodiment of the present application provides an electronic device, including a processor, a memory, and a program or an instruction stored on the memory and executable on the processor, where the program or the instruction implements the steps of the method for processing target information according to the first aspect when executed by the processor. In a fourth aspect, embodiments of the present application provide a computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, implement the steps of the method of processing target information as described in the first aspect. The embodiment of the application judges the increment value of the current target information by constructing and utilizing the historical semantic base line pool, can identify the evolution context of the information on a time line, can effectively filter repeated or redundant content, ensures that the output information has real continuity, and solves the problems of information isolation and breakage in the traditional information aggregation. And the plurality of intell