A method and system for acquiring user personality characteristics based on mobile terminal analysis

Abstract

The invention discloses a method and system for analyzing and acquiring the character features of a user based on a mobile terminal. The method comprises the following steps: A, acquiring user picture information by the mobile terminal; B, extracting dressing information related to the user from the acquired user picture information; C, carrying out statics and classification on the extracted dressing information related to the user, and analyzing to obtain the daily dressing hobby features of the user in each season; D, automatically recommending, outputting and displaying corresponding living suggestion information according to the daily dressing hobby features of the user in each season. The mobile terminal is increased with a new function: according to various features of the user, such as daily dressing styles and types so as to acquire the hobbies of the user in daily life through monitoring and analysis, corresponding information is automatically recommended to the user according to the hobbies of the user, convenience is provided for the user, the browsing time of the user is shortened, and the browsing efficiency of the user is improved.

Description

technical field [0001] The present invention relates to the technical field of mobile terminals, in particular to a method and system for acquiring user personality characteristics based on mobile terminal analysis. Background technique [0002] With the development of mobile communications and the continuous improvement of people's living standards, the use of various mobile terminals such as mobile phones has become more and more popular, and mobile phones have become an indispensable communication tool in people's lives. [0003] At present, e-commerce is becoming more and more popular, and more and more users are accustomed to shopping on the Internet. In particular, many female users like to buy clothes and so on on major shopping websites. But when you open the shopping webpage, a wide variety of items are displayed in front of you. Even if you use a certain keyword to search, there are still more than N choices to appear in front of you. Users search for their favor...

AI Technical Summary

Problems solved by technology

Users search for their favorite types page by page, which greatly reduces efficiency and is inconvenient for users

[0004] At present, there are also similar products recommended to users through the information they have browsed, but browsing does not mean that users really like or are suitable for them.

The mobile terminals in the prior art fail to obtain the user's preferences through the user's daily behavior habits, dressing style, etc., and truly dig out what is suitable for the user and what the user likes.

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