How to use causal inference and experiments to drive user growth| July 28 tf67

Causal inference is an important branch of data science . Through systematic experiments, it is found that 、 Explore and infer the causal relationship between things , It has always been the basic way for human beings to understand the world and the cornerstone of modern science , It is also a core problem in Data Science . This activity brings together senior Internet data science experts across industries , In depth introduction to causal inference and experimental technology and real cases , Analyze the current research progress and application in relevant fields in China , Give practical business challenges, operable experience and suggestions .7 month 28 Japan , Welcome to sign up ！

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The theme How to use causal inference and experiments to drive user growth ？
2022 year 7 month 28 Japan 19:00-21:00

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Enrollment link ：https://conf.ccf.org.cn/TF67

The goal of causal inference is to find the causal relationship behind things , Random control experiment is a classical method to find causality ; Due to the technical limitations of the experiment 、 Reasons such as high cost, ethics and fairness , In many data science problems , Inferring causality from observed data is a very challenging and necessary step . In this issue, we invite Chen Qilin, head of Tencent overseas game data science , Kwai data scientist chengdaxi , tencent TAB Du mengxu, head of the digital Department of the experimental platform 、 Four Alibaba Algorithm Engineers, Zhang Fan, are engaged in games 、 information flow 、 Recommend data science experts from different directions , To share with you their views and practical experience on the application of causal inference and experiment in the Internet , And how to implement data-driven decision in real business scenarios .

Time arrangement

TF67： How to use causal inference and experiments to drive user growth ？ host ： Chen Qiaolin   Tencent game overseas chief data scientist
Time	The theme	Speaker
19:00-19:10	Activity introduction and speech	Chen Qiaolin Tencent game overseas chief data scientist
19:05-19:35	《 How to use experiments and causal inference to drive user growth 》	Chen Qiaolin Tencent game overseas chief data scientist
19:35-20:05	《 Attribution of advertising post investment effect based on causal inference 》	Zhang Fan Alibaba Algorithm Engineer
20:05-20:35	《 Challenges and solutions of complex experimental design in bilateral markets 》	Cheng Daxi Kwai data scientist
20:35-21:05	《 The experimental platform helps business scientific decision 》	Du mengxu tencent TAB Head of the digital Department of the experimental platform
21:05-21:20	Participants ask questions and interact	Chen Qiaolin 、 Zhang Fan 、 Cheng Daxi 、 Du mengxu
21:20-21:25	Activity summarized	Chen Qiaolin

Belongs to SIG

CCF TF Data Science

Guest speaker

Chen Qiaolin
Tencent game overseas chief data scientist

The theme ：《 How to use experiments and causal inference to drive user growth 》

A brief introduction to the topic ： Many key data science tasks are about decision making , Causal inference methods including experiments , Can be used to make better decisions . How can causal inference be applied to the R & D and operation scenarios of Internet companies , Help product optimization and user growth ？ This sharing gives a brief introduction to the theory of causal inference , At the same time, it provides application cases of game scenes ：

• From the prediction of machine learning to the decision of causal inference

• Overview of experiments and causal inference in user growth and product optimization

• Experiments from the perspective of technology and game industry cases

• The application direction of causal inference and game industry cases

Personal profile ： Bachelor of Peking University ,UCLA Doctor of Biostatistics ,2013 After graduation at the end of the year, he served as the chief statistician of Novartis , Engaged in statistical analysis of clinical trials and medical big data research ;2017 To join in SparkBeyond Senior Data scientist , Provide landing big data solutions for the world's top 500 enterprises .2018 Joined Tencent game data mining team in , Currently, he is the head of overseas data science of Tencent games , Be responsible for building big data analysis and modeling required by overseas businesses , And be responsible for the construction of overseas user portraits and the analysis and insight related to market users , Dedicated to machine learning in the field of games 、 Recommendation system 、 User portrait 、 Research and application of knowledge atlas , Create an industry-leading general data mining platform in the game field , At the same time, explore the frontier direction of interdisciplinary disciplines such as user life cycle and game virtual economy .

Zhang Fan
Alibaba Algorithm Engineer

The theme ：《 Attribution of advertising post investment effect based on causal inference 》

A brief introduction to the topic ： Post investment diagnosis is to help advertisers quickly find out the reasons for the fluctuation of effectiveness in the process of advertising , It mainly shares the application of causal inference technology in flying pig diagnosis system . Include ：

1. Introduction to the attribution system of flying pig advertisement

2. Application of causal discovery technology in post investment diagnosis of advertising

3. Application of Bayesian network in volatility attribution

Personal profile ： Graduated from University of Electronic Science and Technology , After graduation, I joined Alibaba as an algorithm engineer . I was successively responsible for sorting the search advertisements of Feizhu hotel 、 Pre investment effect estimation of advertising 、 Advertisers' service related work such as post investment effect attribution based on causal inference . Now I am responsible for hotel search algorithm shopping guide and other related work . I have some experience in the implementation of causal inference technology in the industry .

Cheng Daxi
Kwai data scientist

The theme ：《 Challenges and solutions of complex experimental design in bilateral markets 》

A brief introduction to the topic ：

1. What are the challenges of complex experiments in bilateral markets

2. What solutions can the industry refer to

3. The scheme used by Kwai and its reference

Personal profile ： Bachelor of economics, Guanghua School of management, Peking University , Master of business analysis, University of Texas at Austin . Former ant group data scientist , Responsible for the function construction of the experimental platform . At present, he is a data scientist of the Kwai Ecological Analysis Group , Responsible for the relevant work of causal inference analysis of flow ecological related experiments .

Du mengxu
tencent TAB Head of the digital Department of the experimental platform

The theme ：《 The experimental platform helps business scientific decision 》

A brief introduction to the topic ： With the construction of data-driven culture , As small as the online decision of each function , Large to strategic resource allocation decision ,AB There are more and more experiments . This report introduces TAB How does the experimental platform iteratively support many forms of business AB Experiment and ensure the scientific nature of experimental decision .

Personal profile ： Du mengxu , Graduated from Zhejiang University ,2016 Joined tencent in 2004 , be responsible for TAB Experimental platform digital team , The dominant TAB Construction of experimental platform 、 Business experiment environment governance 、 Complex experimental design .

The chairman of the meeting

Chen Qiaolin
Tencent game overseas chief data scientist

Personal profile ： Bachelor of Peking University ,UCLA Doctor of Biostatistics ,2013 After graduation at the end of the year, he served as the chief statistician of Novartis , Engaged in statistical analysis of clinical trials and medical big data research ;2017 To join in SparkBeyond Senior Data scientist , Provide landing big data solutions for the world's top 500 enterprises .2018 Joined Tencent game data mining team in , Currently, he is the head of overseas data science of Tencent games , Be responsible for building big data analysis and modeling required by overseas businesses , And be responsible for the construction of overseas user portraits and the analysis and insight related to market users , Dedicated to machine learning in the field of games 、 Recommendation system 、 User portrait 、 Research and application of knowledge atlas , Create an industry-leading general data mining platform in the game field , At the same time, explore the frontier direction of interdisciplinary disciplines such as user life cycle and game virtual economy .

SIG chairman

Tomoegawa
CCF TF Data Science SIG chairman , Chief data scientist of competitive world

Personal profile ： Once worked in China search 、 Sohu Changyou and other Internet companies . The main research areas include data mining 、 Knowledge map 、 Artificial intelligence 、 Social networks 、 Wind control system 、 Recommendation system 、 Data visualization, etc . Deputy director of the expert committee of China education innovation school enterprise alliance , National technical standard innovation base （ Guizhou big data ） Expert of Digital Economy Professional Committee , Part time master director of Beijing Airlines , Teaching experts of Xi'an Jiaotong University Graduate School , Part time teachers and innovation and entrepreneurship tutors in many colleges and universities . Several speakers and producers of Technology Summit .

This year's data science SIG The follow-up activities are arranged as follows , Stay tuned ：

TF74	2022/9/15	The competency model of data scientists
TF78	2022/10/20	Methodology and technology of data insight
TF87	2022/12/20	Data driven methods and problems

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2022 year 7 month 28 Japan 19:00-21:00

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