Learning to expand audience via meta hybrid experts and critics for recommendation and advertising

Y Zhu, Y Liu, R Xie, F Zhuang, X Hao, K Ge… - Proceedings of the 27th …, 2021 - dl.acm.org
In recommender systems and advertising platforms, marketers always want to deliver
products, contents, or advertisements to potential audiences over media channels such as …

Logistics audience expansion via temporal knowledge graph

H Yan, Y Ge, H Wang, D Zhang, Y Yang - Proceedings of the 32nd ACM …, 2023 - dl.acm.org
Logistics audience expansion, the process for logistics companies to find potential long-term
customers, is one of the most important tasks for business growth. However, existing …

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 …

GATS: Generative Audience Targeting System for Online Advertising

C Jiang, Z Chen, B Zhang, Y Ren, X Dong… - Proceedings of the 47th …, 2024 - dl.acm.org
This paper presents GATS (Generative Audience Targeting S ystem for Online Advertising),
a new framework using large language models (LLMs) to improve audience targeting in …

Know Your Needs Better: Towards Structured Understanding of Marketer Demands with Analogical Reasoning Augmented LLMs

J Wang, D Yang, B Hu, Y Shen, W Zhang… - Proceedings of the 30th …, 2024 - dl.acm.org
In this paper, we explore a new way for user targeting, where non-expert marketers could
select their target users solely given demands in natural language form. The key to this issue …

Who Would be Interested in Services? An Entity Graph Learning System for User Targeting

D Yang, B Hu, X Yang, Y Shen, Z Zhang… - 2023 IEEE 39th …, 2023 - ieeexplore.ieee.org
With the growing popularity of various mobile devices, user targeting has received a growing
amount of attention, which aims at effectively and efficiently locating target users that are …

Which Matters Most in Making Fund Investment Decisions? A Multi-granularity Graph Disentangled Learning Framework

C Gan, B Hu, B Huang, T Zhao, Y Lin… - Proceedings of the 46th …, 2023 - dl.acm.org
In this paper, we highlight that both conformity and risk preference matter in making fund
investment decisions beyond personal interest and seek to jointly characterize these …

Hierarchical Information Propagation and Aggregation in Disentangled Graph Networks for Audience Expansion

L Lin, X Chen, K Xia, S Wang, D Zhang… - Proceedings of the 33rd …, 2024 - dl.acm.org
With the development of the logistics industry, the user base of logistics services has
expanded swiftly. This rapid increase in user scale presents significant challenges for …

Transforming Location Retrieval at Airbnb: A Journey from Heuristics to Reinforcement Learning

D Davis, H Gao, T Legrand, M Haldar, A Deng… - Proceedings of the 33rd …, 2024 - dl.acm.org
The Airbnb search system grapples with many unique challenges as it continues to evolve.
We oversee a marketplace that is nuanced by geography, diversity of homes, and guests …

Determinantal Point Processes Guided Crowd-wise Mixture-of-Experts for Recommendation in Alipay

Y Li, Z Zhu, S Chen, K Shen, X Zhang… - ACM Transactions on …, 2024 - dl.acm.org
Facing the challenges of sparsity and long tail in thousands of Mini-apps recommendation
scenarios deployed on Alipay platform, there is a great need for a simple, effective, and easy …