Recommendation platform-oriented RPA data acquisition method

Abstract

The invention discloses a recommendation platform-oriented RPA technology-based data acquisition method, and aims to solve the problems that the flow correctness of a traditional RPA technology-based data acquisition method is difficult to guarantee and abnormal conditions cannot be judged. According to the technical scheme, the method comprises the following steps: constructing a recommendation platform-oriented RPA data acquisition system consisting of a client, a data reorganization module, a tweet acquisition module, a template matching module, a blogger acquisition module, a process log E, a target data pool A and a theme tag data pool S; according to user needs, interface elements are positioned for a recommendation platform, theme keywords are screened, automatic data downloading and reorganizing are achieved, and the whole process is recorded to a process log to be traced back by the user. By adopting the method and the device, the bloggers and the noise tweets required by the user can be screened out, the fine-grained data set with relatively high cleanliness is obtained, additional data processing is not needed, the problems of flow abnormality and the like are reduced, and the efficiency and the accuracy of data acquisition are effectively improved.

Description

technical field [0001] The present invention relates to the field of Robotic Process Automation (RPA), in particular to an RPA data acquisition method for a recommendation platform. Background technique [0002] Data collection refers to filtering, reorganizing, and storing relevant data stored in the information world in a specified format according to the provided keywords in a specified local path. [0003] The birth and popularization of the Internet has greatly changed the way people acquire and recognize information. Nowadays, people are accustomed to storing data in the information world, and searching through tools such as search engines or mobile phone applications to collect the required information. In actual work, data collection is usually divided into the following two scenarios. One is to retrieve data sources through search engines. The feature of this scenario is that HTML tags of web pages or internal API interfaces can be called, which is called tagged. S...

AI Technical Summary

Problems solved by technology

[0010] The technical problem to be solved by the present invention is to solve the problem that in the unlabeled scene, the traditional RPA-based data collection method program is fragile so that the process is easy to be interrupted, the flexibility is poor so that it cannot be automatically processed when encountering abnormal situations, and the correctness of the process cannot be guaranteed so that it is prone to large-scale problems. The problem of large-scale data corruption, providing an RPA data collection method for recommendation platforms

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