Graph-Based Audience Expansion Model for Marketing Campaigns

MM Rahman, D Kikuta, Y Hirate… - Proceedings of the 47th …, 2024 - dl.acm.org
Audience Expansion, a technique for identifying new audiences with similar behaviors to the
original target or seed users. The major challenges include a heterogeneous user base …

Making Large Language Models Better Knowledge Miners for Online Marketing with Progressive Prompting Augmentation

C Gan, D Yang, B Hu, Z Liu, Y Shen, Z Zhang… - arXiv preprint arXiv …, 2023 - arxiv.org
Nowadays, the rapid development of mobile economy has promoted the flourishing of online
marketing campaigns, whose success greatly hinges on the efficient matching between user …

Look-alike modelling in violence-related research: A missing data approach

EC Barbosa, N Blom, A Bunce - PloS one, 2025 - journals.plos.org
Violence has been analysed in silo due to difficulties in accessing data and concerns for the
safety of those exposed. While there is some literature on violence and its associations …

Customer Understanding for Recommender Systems

MM Rahman, Y Hirate - Proceedings of the 17th ACM International …, 2024 - dl.acm.org
Recommender systems are powerful tools for enhancing customer engagement and driving
sales for Rakuten businesses. However, to achieve their full potential, these systems must …

UNICON: A unified framework for behavior-based consumer segmentation in e-commerce

M Dibak, V Vlasov, N Karessli, D Dedik… - … Systems in Fashion and …, 2023 - Springer
Data-driven personalization is a key practice in fashion e-commerce, improving the way
businesses serve their consumers' needs with more relevant content. While hyper …

Segmentation in E-Commerce

M Dibak, V Vlasov, N Karessli, D Dedik… - … Fashion and Retail … - books.google.com
Data-driven personalization is a key practice in fashion e-commerce, improving the way
businesses serve their consumers' needs with more relevant content. While hyper …