微信基础朋友圈-研究员-推荐算法
Tencent
微信基础朋友圈-研究员-推荐算法
Job Description
微信基础朋友圈-研究员-推荐算法
📋 Job Overview
The role focuses on developing recommendation algorithms for the Moments publisher in WeChat to enhance user video creation experience and reduce publishing barriers. It involves personalizing recommendations for video templates and background music based on content, user habits, and interests. Additionally, it explores multimodal understanding and content generation for video-to-music applications in the Moments scenario.
📍 Location: Beijing, China
🏢 Business Unit: WXG
📄 Full Description
2.基于素材内容、用户使用习惯及历史兴趣，个性化推荐视频模板和背景音乐；
3.研究多模态理解和内容生成，探索视频生成音乐在朋友圈场景的落地。
🎯 Key Responsibilities
- Responsible for the Moments publisher recommendation algorithm, optimizing user video creation experience and lowering video publishing thresholds.
- Personalize recommendations for video templates and background music based on material content, user usage habits, and historical interests.
- Research multimodal understanding and content generation, exploring the implementation of video-generated music in the Moments scenario.
Locations
- Beijing, China
Salary
300,000 - 800,000 CNY / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Responsibilities
- Responsible for the Moments publisher recommendation algorithm, optimizing user video creation experience and lowering video publishing thresholds.
- Personalize recommendations for video templates and background music based on material content, user usage habits, and historical interests.
- Research multimodal understanding and content generation, exploring the implementation of video-generated music in the Moments scenario.
Tags & Categories
Answer 10 quick questions to check your fit for 微信基础朋友圈-研究员-推荐算法 @ Tencent.
Related Books and Jobs
微信基础朋友圈-研究员-推荐算法
Tencent
微信基础朋友圈-研究员-推荐算法
Job Description
微信基础朋友圈-研究员-推荐算法
📋 Job Overview
The role focuses on developing recommendation algorithms for the Moments publisher in WeChat to enhance user video creation experience and reduce publishing barriers. It involves personalizing recommendations for video templates and background music based on content, user habits, and interests. Additionally, it explores multimodal understanding and content generation for video-to-music applications in the Moments scenario.
📍 Location: Beijing, China
🏢 Business Unit: WXG
📄 Full Description
2.基于素材内容、用户使用习惯及历史兴趣，个性化推荐视频模板和背景音乐；
3.研究多模态理解和内容生成，探索视频生成音乐在朋友圈场景的落地。
🎯 Key Responsibilities
- Responsible for the Moments publisher recommendation algorithm, optimizing user video creation experience and lowering video publishing thresholds.
- Personalize recommendations for video templates and background music based on material content, user usage habits, and historical interests.
- Research multimodal understanding and content generation, exploring the implementation of video-generated music in the Moments scenario.
Locations
- Beijing, China
Salary
300,000 - 800,000 CNY / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Responsibilities
- Responsible for the Moments publisher recommendation algorithm, optimizing user video creation experience and lowering video publishing thresholds.
- Personalize recommendations for video templates and background music based on material content, user usage habits, and historical interests.
- Research multimodal understanding and content generation, exploring the implementation of video-generated music in the Moments scenario.
Tags & Categories
Answer 10 quick questions to check your fit for 微信基础朋友圈-研究员-推荐算法 @ Tencent.
Related Books and Jobs