CN-121998673-A - Automatic analysis method and terminal for bidding products

CN121998673ACN 121998673 ACN121998673 ACN 121998673ACN-121998673-A

Abstract

The invention discloses an automatic analysis method and a terminal of a bid product, wherein the method comprises the steps of collecting first bid product information of a first target product, constructing a training data set after feature identification is carried out on the first bid product information, obtaining a bid product feature analysis model according to training of the first target product and a corresponding training data set, inputting data of a second target product into the bid product feature analysis model to obtain a bid product with the highest matching degree with the second target product and a feature identification thereof, and generating an improvement scheme of the second target product according to the bid product and the feature identification thereof. According to the invention, the bid information is automatically acquired through the bid feature analysis model, the characteristic identification is carried out on the bid, and the bid with the highest matching degree with the target product and the characteristic identification thereof are obtained, so that an improved scheme of the target product is generated, and the efficiency and the accuracy of the bid analysis are improved.

Inventors

LIU DEJIAN
XU SIJIA
Yu Mingao
LIN CHEN
SONG SHIYING
ZHAO JIN
ZHU HONG
ZHU JIA
You Youqi
WU HUAHUA
HUA WEIYI
HUANG SONGBO

Assignees

福建天晴数码有限公司

Dates

Publication Date: 20260508
Application Date: 20241104

Claims (10)

1. An automatic analysis method of a bid product is characterized by comprising the following steps: s1, acquiring first bid information of a first target product, and constructing a training data set after feature identification is carried out on the first bid information; S2, training according to the first target product and the corresponding training data set to obtain a bid feature analysis model; S3, inputting the data of the second target product into the bid feature analysis model to obtain a bid with the highest matching degree with the second target product and a feature identifier thereof, and generating an improvement scheme of the second target product according to the bid and the feature identifier thereof.
2. The method of claim 1, wherein constructing a training data set after the feature identification for the bid information comprises: The bid information is characterized from different dimensions including bid name, bid type, user preference type, and bid reference level.
3. The automatic analysis method of a bid product according to claim 2, wherein the step S2 includes: training the relation between the first target product and the first bid information in the training data set, and training the relation between the first bid information and the identification thereof in the training data set to obtain a training model; And searching the second bid information and identifying the characteristics of the first target product by using the training model, comparing the second bid information and identifying the characteristics of the second bid information with the training data set, and when the accuracy of the test result does not reach a preset value, adjusting the training data set, retraining the training model according to the adjusted training data set until the accuracy of the test result reaches the preset value, thereby obtaining the bid characteristic analysis model.
4. The automatic analysis method of a bid product according to claim 3, wherein said step S2 further comprises: and sorting the second bid information according to the bid type and the bid reference grade, and identifying the bid with the highest matching degree with the first target product from the second bid information according to the sorting result.
5. The automatic analysis method of a bid product according to claim 1, wherein the generating the second target product improvement according to the bid product and the characteristic identifier thereof comprises: and identifying the gap between the bid and the second target product according to the characteristic identification, and generating an improvement scheme of the second target product according to the gap.
6. An automatic analysis terminal for a bid product comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the following steps when executing the computer program: s1, acquiring first bid information of a first target product, and constructing a training data set after feature identification is carried out on the first bid information; S2, training according to the first target product and the corresponding training data set to obtain a bid feature analysis model; S3, inputting the data of the second target product into the bid feature analysis model to obtain a bid with the highest matching degree with the second target product and a feature identifier thereof, and generating an improvement scheme of the second target product according to the bid and the feature identifier thereof.
7. The automatic analysis terminal of claim 6, wherein the constructing a training data set after the feature identification for the bid information constructs a training data set according to the data of the bid, comprising: The bid information is characterized from different dimensions including bid name, bid type, user preference type, and bid reference level.
8. The automatic analysis terminal of claim 7, wherein the step S2 includes: training the relation between the first target product and the first bid information in the training data set, and training the relation between the first bid information and the identification thereof in the training data set to obtain a training model; And searching the second bid information and identifying the characteristics of the first target product by using the training model, comparing the second bid information and identifying the characteristics of the second bid information with the training data set, and when the accuracy of the test result does not reach a preset value, adjusting the training data set, retraining the training model according to the adjusted training data set until the accuracy of the test result reaches the preset value, thereby obtaining the bid characteristic analysis model.
9. The automatic analysis terminal of claim 8, wherein the step S2 further comprises: and sorting the second bid information according to the bid type and the bid reference grade, and identifying the bid with the highest matching degree with the first target product from the second bid information according to the sorting result.
10. The automatic analysis terminal of claim 6, wherein the improvement for generating the second target product according to the bid and the characteristic identifier thereof comprises: and identifying the gap between the bid and the second target product according to the characteristic identification, and generating an improvement scheme of the second target product according to the gap.

Description

Automatic analysis method and terminal for bidding products Technical Field The invention relates to the field of computer application, in particular to an automatic analysis method and terminal for a bid product. Background In the market, deep analysis of competitive products is one of key steps for enterprises to formulate effective market strategies and promote product competitiveness. The traditional manual mode is used for executing the task by collecting a large amount of bid data, however, the method has the defects of high time cost, great investment of manpower and material resources for collecting and arranging related information, incapability of completing bid data analysis in a short time, and long time of bid experience for knowing the playing method of the bid and the design bright point of the bid. In order to overcome the limitation, the bid product disassembling and analyzing method based on the AI technology is developed, the method can automatically disassemble the function modules of the bid product, compare and analyze the functions and performances of the modules by utilizing the machine learning technology, analyze the market feedback data, extract the user evaluation and suggestion, and aim to accurately disassemble the bid product, intelligently compare the functions, comprehensively evaluate the performances and efficiently analyze the market feedback, thereby providing valuable product improvement suggestions and market strategies for enterprises. Disclosure of Invention The invention aims to solve the technical problem of providing an automatic analysis method and terminal for a bid product, which can improve the comprehensiveness and accuracy of data processing, thereby improving the efficiency and accuracy of bid product analysis. In order to solve the technical problems, the invention adopts the following technical scheme: an automatic analysis method of a bid product comprises the following steps: s1, acquiring first bid information of a first target product, and constructing a training data set after feature identification is carried out on the first bid information; S2, training according to the first target product and the corresponding training data set to obtain a bid feature analysis model; S3, inputting the data of the second target product into the bid feature analysis model to obtain a bid with the highest matching degree with the second target product and a feature identifier thereof, and generating an improvement scheme of the second target product according to the bid and the feature identifier thereof. In order to solve the technical problems, the invention adopts another technical scheme that: An automatic analysis terminal for a bid product comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the processor realizes the steps of the automatic analysis method for the bid product when executing the computer program. The automatic analysis method and the terminal for the bid have the advantages that the first bid information of the first target product is collected, the training data set is constructed after feature identification is carried out on the first bid information, a data foundation is laid for subsequent training of the bid feature analysis model, reliability of the bid feature analysis model training is guaranteed, the bid feature analysis model is obtained through training according to the first target product and the corresponding training data set, the bid data collection and analysis are carried out according to the data automation of the second target product through the bid feature analysis model, the bid with the highest matching degree with the second target product and the feature identification thereof are obtained, the comprehensiveness and the accuracy of data processing are improved, accordingly, the efficiency and the accuracy of bid analysis are improved, an improved scheme of the second target product is generated according to the bid and the feature identification thereof, and the design quality and the competitive power of the second target product are improved. Drawings FIG. 1 is a flow chart of a method for automatically analyzing a bid in accordance with an embodiment of the present invention; FIG. 2 is a schematic diagram of an automatic analysis terminal for a bid according to an embodiment of the present invention; FIG. 3 is a flowchart of a training process of a bid feature analysis model according to an embodiment of the present invention; Description of the reference numerals: 1. An automatic analysis terminal of a bid, 2, a memory, 3, a processor. Detailed Description In order to describe the technical contents, the achieved objects and effects of the present invention in detail, the following description will be made with reference to the embodiments in conjunction with the accompanying drawings. Referring to fig. 1, an embodiment of the present inventi