Snap inc. (20240314091). TECHNIQUES FOR RECOMMENDING REPLY STICKERS simplified abstract
Contents
TECHNIQUES FOR RECOMMENDING REPLY STICKERS
Organization Name
Inventor(s)
Roman Golobokov of London (GB)
Sergey Smetanin of London (GB)
Sofya Savinova of Lehi UT (US)
Aleksandr Zakharov of Dubai (AE)
TECHNIQUES FOR RECOMMENDING REPLY STICKERS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240314091 titled 'TECHNIQUES FOR RECOMMENDING REPLY STICKERS
The technique described in this patent application involves processing a received media content item in a messaging application to generate a selection of recommended stickers for the user to use in replying to the message.
- The messaging application analyzes specific attributes and characteristics of the received message, such as text, stickers used, and other contextual metadata.
- A scoring model is then used to identify a predetermined number of stickers to recommend to the user for use in their reply.
- The recommended stickers are presented in the user interface for the user to choose from.
Potential Applications: - Messaging applications - Social media platforms - Communication tools
Problems Solved: - Enhancing user engagement in messaging conversations - Providing users with personalized sticker recommendations - Improving user experience in selecting stickers for replies
Benefits: - Increased user interaction and engagement - Personalized sticker recommendations - Streamlined sticker selection process
Commercial Applications: Title: Enhanced Sticker Recommendation System for Messaging Applications This technology can be utilized by messaging platforms to enhance user experience and engagement, potentially leading to increased user retention and satisfaction.
Prior Art: Further research can be conducted in the field of sticker recommendation systems in messaging applications to explore existing technologies and innovations.
Frequently Updated Research: Stay updated on advancements in sticker recommendation systems in messaging applications to incorporate the latest trends and technologies into this innovation.
Questions about Sticker Recommendation Systems: 1. How does this technology improve user engagement in messaging applications? - This technology enhances user engagement by providing personalized sticker recommendations based on the content of the received message. 2. What are the potential commercial implications of implementing this sticker recommendation system in messaging platforms? - Implementing this system can lead to increased user satisfaction, retention, and potentially higher revenue through enhanced user experience.
Original Abstract Submitted
described herein is a technique for processing a received media content item (e.g., a message), received at a messaging application of a first end-user of a messaging service, to generate a selection of some predetermined number of recommended stickers. the recommended stickers are then presented in a user interface to the first end-user, allowing the first end-user to select a sticker for use in replying to the received media content item. to generate the selection of recommended stickers, in response to receiving the media content item, the messaging application processes the media content item to identify specific attributes and characteristics (e.g., text included with the message, stickers used with the message, and other contextual metadata). the identified attributes and characteristics of the received message are then processed by a scoring model to identify the predetermined number of stickers for presenting in the reply interface as recommended reply stickers.
