The 2nd International Workshop on User Understanding from Big Data Workshop (DMU2 2024)
This accepted workshop is to gain insights on how big data methodologies can be enhancing user understanding in the world of technology. The accepted papers will be presented in the workshop and be included in the workshop proceeding of IEEE ICDM 2024.
Call for Papers
Data mining has become a critical tool for understanding human behaviors and improving user experiences in the digital age. The availability of massive amounts of user-level data from different sources has enabled technology companies to leverage quantitative techniques such as statistical sampling, data visualization, funnel analysis, user journey analysis, and experimental design to gain insights into user mental models and provide frameworks for user understanding. Large-scale data has also been crucial in customizing approaches for gaining user traction, improving user experience and monetization for different user groups. The potential applications of data mining in this space are tremendous, including recommendation, marketing, online experiments, and more.
This workshop aims to provide a platform for researchers to exchange ideas on how to use data-driven technologies for better user understanding through data analytics & modeling, experimental design, and user research. Moreover, the workshop will emphasize algorithmic approaches in the context of learning, optimization, decision making, fairness, and data privacy, which raise fundamental challenges for existing techniques. Finally, the workshop welcomes papers that describe the public release of privacy-preserving datasets that the community can use to solve fundamental technical problems of interest in user understanding.
Topics
The topics for the workshop including but not limited to:
- User targeting and segmentation
- Sampling methods in user research studies
- Survey methodology in user understanding
- Data utilization in Eye-tracking data
- Feedback loop to improve user experience
- Metrics and logging to describe user behaviors and experiences
- Data-driven methodology in design thinking
- Online, offline experiments and other causal inference methods
- Hierarchical modeling in user understanding
- Active learning in user success
- Fairness in user research
- Data model as framework of user mental models
- Data driven user pain points discovery and solutions
- Integrate qualitative and quantitative in user insights mining
- Data visualization in user journeys and experiences mapping
- Data integration in product development cycle
- Privacy and data protection in user research
Paper Submission
Please submit a full-length paper (up to 10 page IEEE 2-column format) through the online submission system.
Please refer to the ICDM regular submission requirment for more information at https://www.cloud-conf.net/icdm2023/call-for-papers.html
Important dates
- Sep 15, 2024 : Due date for full workshop papers submission
- Sep 30, 2024 : Notification of paper acceptance to authors
- Oct 15, 2024 : Camera-ready of accepted papers
- Dec 9-12, 2024: Workshops
Program Chairs
- Claire Ding, Senior Manager, Mobile Data at data.ai
- Wutao Wei, Senior Data Science Leader at Cisco Meraki
- Bowei Xi, Associate Professor, Purdue University
Program Committee Members
- Danqing Xu, Manager, Statistics, AbbVie
- Owen Ho, Sr Marketing Insights Manager, Microsoft
- Jack Hu, Senior Data Scientist at Twitter
- Fei Gao, Quantitative UX Researcher, Facebook
- Alice Zhou, Applied Science Manager, Amazon
- Qiaochu (Frank) Zhang, Research Engineer, Facebook AI
- Chunxu Tang, Machine Learning Engineer, Twitter
- Wenting Long, Post Doctoral Researcher, Yale
- Jiexin Duan, Sr Financial Modeler, Moody’s Corporation
- Mi Feng, Sr Software Engineer, Twitter
- Zhiyuan Yao, Data Scientist, Cisco
- Yaoli Mao, Senior Experience Design Researcher,Autodesk
Contact Information
- Email: icdm.dmu2@gmail.com