Introduction
Recommendation systems are used widely in ecommerce industries, multimedia content platforms and social networks to provide suggestions that a user will most likely consume or connect; thus, improving the user experience. This motivates people in both industry and research organizations to focus on personalization or recommendation algorithms, which has resulted in a plethora of research papers. While academic research mostly focuses on the performance of recommendation algorithms in terms of ranking quality or accuracy, it often neglects key factors that impact how a recommendation system will perform in a real-world environment. These key factors include but are not limited to: business metric definition and evaluation, recommendation quality control, data and model scalability, model interpretability, model robustness and fairness, and resource limitations, such as budget on computing and memory resources, engineering workforce cost, etc..
The gap in constraints and requirements between academic research and industry limits the broad applicability of many of academia’s contributions for industrial recommendation systems. This workshop aspires to bridge this gap by bringing together researchers from both academia and industry. Its goal is to serve as a platform via which academic researchers become aware of the additional factors that may affect the chances of algorithm adoption into real production systems, and the performance of the algorithms if deployed. Industrial researchers will also benefit from sharing the practical frameworks at an industrial level.
Registration Information:
Please note that all workshop attendees must be registered, either into the whole conference, or in a workshop only registration. Please refer to the CIKM2024 main conference for more information regarding the registration.
Attendance Policy:
Following the schedule of the CIKM2024 conference, our workshop will be hybrid. In-person and virtual attendance are all welcome. More details will be shared as soon as we are able to.
Speakers
Important Dates
August 5, 2024 August 16, 2024 : Workshop paper submission
(deadline extended)
August 30, 2024: Workshop paper notifications
September 7, 2024: Camera-ready deadline for workshop papers
October 25 9:00am (MDT) - October 25 5:30pm (MDT), 2024 / October 25 8:00am (PT) - October 25 4:30pm (PT), 2024: Workshop Date
Program Committee
We want to thank our program committee members for their hard work to select the valuable publications for our workshop.
- Chenhao Fang, Meta
- Yu Chen, Google
- Jiao Chen, Walmart Global Tech
- Zheng Liu, TikTok
- Zezhong Fan, Walmart Global Tech
- Jiayi Liu, Purdue University
- Shalin Barot, Walmart Global Tech
- Yuqing Liu, University of Illinois at Chicago
- Xiaolong Liu, University of Illinois at Chicago
- Praveen Kumar Kanumala, Walmart Global Tech
- Venugopal Mani, Meta
- Yokila Arora, Walmart Global Tech
- Ipsita Mohanty, Salesforce
- Shubham Gupta, Walmart Global Tech