微信基础-微信表情推荐算法工程师
Tencent
微信基础-微信表情推荐算法工程师
Job Description
微信基础-微信表情推荐算法工程师
📋 Job Overview
The role involves developing recommendation algorithms for emoji sending and downloading scenarios within WeChat. It focuses on building context-aware cross-modal systems to enhance personalized text-emoji matching and user efficiency. Additionally, it includes constructing algorithms for cross-domain emoji portrait systems to improve interest exploration and recommendation conversion.
📍 Location: Beijing, China
🏢 Business Unit: WXG
📄 Full Description
2.负责微信内各表情下载场景的推荐算法，支持表情专辑、表情单品、自定义表情三类id维度的跨域百亿级候选池推荐，聚焦用户个性化兴趣探索、表情冷启、相关推荐转化，使得表情更好找；
3.负责微信跨域表情画像系统相关算法能力的建设。
🎯 Key Responsibilities
- Develop recommendation algorithms for various emoji sending scenarios in WeChat, build context-aware cross-modal recommendation systems, optimize personalized matching effects between text and emojis, and improve emoji usage efficiency.
- Develop recommendation algorithms for emoji downloading scenarios in WeChat, support cross-domain recommendations from billion-scale candidate pools for emoji albums, individual emojis, and custom emojis, focus on personalized user interest exploration, cold-start emojis, and related recommendation conversions to make emojis easier to find.
- Build algorithmic capabilities for WeChat's cross-domain emoji portrait system.
Locations
- Beijing, China
Salary
250,000 - 500,000 CNY / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Responsibilities
- Develop recommendation algorithms for various emoji sending scenarios in WeChat, build context-aware cross-modal recommendation systems, optimize personalized matching effects between text and emojis, and improve emoji usage efficiency.
- Develop recommendation algorithms for emoji downloading scenarios in WeChat, support cross-domain recommendations from billion-scale candidate pools for emoji albums, individual emojis, and custom emojis, focus on personalized user interest exploration, cold-start emojis, and related recommendation conversions to make emojis easier to find.
- Build algorithmic capabilities for WeChat's cross-domain emoji portrait system.
Tags & Categories
Answer 10 quick questions to check your fit for 微信基础-微信表情推荐算法工程师 @ Tencent.
Related Books and Jobs
微信基础-微信表情推荐算法工程师
Tencent
微信基础-微信表情推荐算法工程师
Job Description
微信基础-微信表情推荐算法工程师
📋 Job Overview
The role involves developing recommendation algorithms for emoji sending and downloading scenarios within WeChat. It focuses on building context-aware cross-modal systems to enhance personalized text-emoji matching and user efficiency. Additionally, it includes constructing algorithms for cross-domain emoji portrait systems to improve interest exploration and recommendation conversion.
📍 Location: Beijing, China
🏢 Business Unit: WXG
📄 Full Description
2.负责微信内各表情下载场景的推荐算法，支持表情专辑、表情单品、自定义表情三类id维度的跨域百亿级候选池推荐，聚焦用户个性化兴趣探索、表情冷启、相关推荐转化，使得表情更好找；
3.负责微信跨域表情画像系统相关算法能力的建设。
🎯 Key Responsibilities
- Develop recommendation algorithms for various emoji sending scenarios in WeChat, build context-aware cross-modal recommendation systems, optimize personalized matching effects between text and emojis, and improve emoji usage efficiency.
- Develop recommendation algorithms for emoji downloading scenarios in WeChat, support cross-domain recommendations from billion-scale candidate pools for emoji albums, individual emojis, and custom emojis, focus on personalized user interest exploration, cold-start emojis, and related recommendation conversions to make emojis easier to find.
- Build algorithmic capabilities for WeChat's cross-domain emoji portrait system.
Locations
- Beijing, China
Salary
250,000 - 500,000 CNY / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Responsibilities
- Develop recommendation algorithms for various emoji sending scenarios in WeChat, build context-aware cross-modal recommendation systems, optimize personalized matching effects between text and emojis, and improve emoji usage efficiency.
- Develop recommendation algorithms for emoji downloading scenarios in WeChat, support cross-domain recommendations from billion-scale candidate pools for emoji albums, individual emojis, and custom emojis, focus on personalized user interest exploration, cold-start emojis, and related recommendation conversions to make emojis easier to find.
- Build algorithmic capabilities for WeChat's cross-domain emoji portrait system.
Tags & Categories
Answer 10 quick questions to check your fit for 微信基础-微信表情推荐算法工程师 @ Tencent.
Related Books and Jobs