information community file
All customer cases - Dimo Community
Dimo Community
Dimo Community is a generative AI community focusing on the quadratic and game crowd. Users can produce paintings and quickly share and communicate through AI.
Use product
Support and communication
Intelligent marking of image recognition makes the community understand you better
Value achievements
With the help of Baidu image recognition technology, the app of Dimo Community realizes the intelligent tagging and classification of mass created pictures, replacing the traditional manual classification method in the past, and its efficiency has been improved by 5 times. At the same time, the results of AI intelligent classification are more objective and accurate, enabling the DiMo community to better understand and analyze users' preferences, so that the community recommendation content can be more tailored to users' personalized needs, promoting a 30% increase in community activity and a 20% increase in the length of users' stay.
Case Story
Core demands
Domo, a great painter, is an AI painting community launched by Dimo Community APP. Users can create, display and share with like-minded people online through AI technology. As the popularity of AIGC continues to rise, users' enthusiasm for creation has surged, and the community has emerged a large number of creative works. In order to recommend more high-quality personalized content to users, Domo, the great painter, needs to classify creative pictures according to user preferences. However, in the face of a wide range of creative pictures, the efficiency of manual classification is low, and the standards are difficult to unify. Therefore, Dimo Community APP hopes to use AI technology to get rid of the dilemma of image classification and achieve accurate recommendation of personalized content.
Solution and diagram
1. Select interest tags when users register;
2. Realize automatic classification of user created pictures through Baidu general object and scene recognition technology;
3. Integrate user interests, interactive historical data, and image classification to present high-quality content for thousands of users.
Technical capability
Voice technology
Character recognition
Face and Human Body
Image technology
Language and knowledge
video technique