Welcome to LEMA '24!

The latest LLMs such as Gemini Ultra and GPT-4 are capable of absolutely captivating feats of reasoning and natural language understanding. This is already powering a new wave of transformative AI use cases in e-commerce, and it appears that the pace of innovation is only just beginning to ramp up. E-commerce is undergoing a period of rapid change, with customers demanding seamless, personalized experiences across devices and channels. With vast product selections, massive datasets, and dynamic consumer preferences, competition for customer attention and loyalty has become more intense than ever, while exciting new opportunities abound. Traditional approaches such as collaborative filtering or supervised learning may fall short in this complex, fast-paced world and fail to exhibit a deep understanding of customers’ concerns, feedback and evolving tastes.

One of the recent and most exciting developments in AI has been the emergence of Large Language Models (LLMs). While it’s true that these are essentially ML models trained for “next word prediction”, architectural breakthroughs combined with dramatic increases in complexity, computing power and training data have given rise to models capable of astounding performance. LLMs can extract insights from unstructured data such as customer reviews and product descriptions, while search queries can be understood at a level far exceeding basic keyword matching. By understanding the true intent behind complex queries or comments, businesses will be able to identify unmet needs (for example, preferences for sustainable packaging), optimize offerings and produce personalized recommendations that are uniquely tailored to personal preferences. LLMs also hold significant promise for backend e-commerce operations; by leveraging their unparalleled scale and reasoning ability, data scientists will be able to analyze data from a wider range of sources, including market reports and historical data, at scale and at a level of detail and nuance that matches human intelligence, to identify trends and produce actionable insights.

The aim of this workshop is to foster discussion around the emerging role of LLMs in next-generation e-commerce applications, with a focus on topics that are relevant to the ICDM audience. The envisioned target audience will include both researchers in academia and industry practitioners who are interested in exploring the latest advances.

We invite original and unpublished contributions, to be submitted via this link.

Workshop Program

Important Dates

Organizers

• Wei Lee Woon (Expedia Group, USA)
• Harsh Nilesh Pathak (Godaddy Inc., USA)
• Jianjun Yuan (Expedia Group, USA)
• Zeyar Aung (Khalifa University, UAE)

Program Committee

• Thomas Mulc, Google Inc., USA
• Panos Liatsis, Khalifa University, UAE
• Jin Wang, Netflix, USA
• Mohamed Sharaf, United Arab Emirates University, UAE
• Hamzah Alzu'bi, Liverpool Hope University, UK
• Congrui Yi, Amazon Inc, USA
• Bikash Chandra Singh, Old Dominion University, USA
• Andreas Henschel, Khalifa University, UAE
• Mohammad Abdul Azim, Office of Local Government NSW, Australia
• Xiaoli Li, Institute for Infocomm Research, Singapore
• Mohammad Firoz Mridha, American International University, Bangladesh
• Jacob Crandall, Brigham Young University, USA
• Pulkit Maloo, Expedia Group, USA
• Akshay Naik, GoDaddy Inc, USA
• Davor Svetinovic, Khalifa University, UAE
• Prajowal Manandhar, DEWA, UAE