Apple explained how it generates the APP Store review resume. 1 facebook X.com reddit
App Store applications often receive updates, and such changes as new functions, error corrections or elements in the application often affect user reviews. Application reviews themselves also vary depending on the style, length and even relevance. The summation of the Apple AI, necessary to take into account all these factors, so the company has introduced a multi -stage process.
as Apple AI summarizes users' reviews
Firstly, user reviews with spam and abnormality are filtered. Acceptable reviews are then carried out through a number of various LLMS or large language models that extract key ideas from user reviews. After that, general topics are aggregated, and the user mood is balanced. The result is a resume generated by AI, which reflects the user's wide mood, with a length of 100 to 300 words.
at the first stage of the process, known as “extracting understanding”, user reviews are reduced to a clear understanding. Apple says that these ideas encapsulate “one specific aspect of the review, formulated in a standardized natural language and limited by one topic and feeling.”
“Dynamic modeling of the topic” allows Apple to compare the relevant topics in different reviews so that the software can determine the most noticeable discussed topics. The approach and terminology have some resemblance to Apple Ais Test applications, which we set out in 2024. Specially developed by LLMS guaranteed that the user mood was balanced, and that the resume retained the necessary shape and length.
During the development, the AI's generated Apple-generated Aviances were evaluated for such characteristics as validity, composition, usefulness and much more. In this part of the process, human reviewers participated, which serves as a sign of how seriously Apple perceived its resume.
Apple blog describes in detail all the steps mentioned here with more specific information about the technology used in each part of the process. In general, the iPhone manufacturer’s approach guarantees that the generated AI resumes of user reviews are accurate, useful, free from spam and relevant.