A rpa data collection method for recommendation platform

Abstract

The invention discloses a data collection method based on RPA technology for a recommendation platform, and aims to solve the problems that the traditional RPA-based data collection method cannot ensure the correctness of the process and cannot judge abnormal situations. The technical solution is: build RPA data for the recommendation platform consisting of client, data reorganization module, tweet collection module, template matching module, blogger collection module, process log E, target data pool A and theme tag data pool S Acquisition System. According to the user's needs, the interface elements are positioned on the recommendation platform, the subject keywords are screened, and the automatic data download and compilation are realized, and the whole process is recorded in the process log for user review. The present invention can screen out bloggers and noisy tweets required by users, and obtain fine-grained data sets with high cleanliness without additional data processing, reducing the occurrence of problems such as abnormal processes, and effectively improving the efficiency and efficiency of data collection. Accuracy.

Description

technical field [0001] The invention relates to the field of Robotic Process Automation (RPA), in particular to an RPA data collection method oriented to 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 the data source through a search engine. The feature of this scenario is that the HTML tag of the web page or the internal API interface can be called, which is called ...

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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