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

30 May 2023

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

5 / 5 papers shown

Title
Know Your Needs Better: Towards Structured Understanding of Marketer Demands with Analogical Reasoning Augmented LLMs Junjie Wang Dan Yang Binbin Hu Yue Shen Wen Zhang Jinjie Gu LRM 27 0 0 09 Jan 2024
Making Large Language Models Better Knowledge Miners for Online Marketing with Progressive Prompting Augmentation Chunjing Gan Dan Yang Binbin Hu Ziqi Liu Yue Shen Zhiqiang Zhang Jinjie Gu Jun Zhou Guannan Zhang 32 3 0 08 Dec 2023
Discovering Invariant Rationales for Graph Neural Networks Yingmin Wu Xiang Wang An Zhang Xiangnan He Tat-Seng Chua OOD AI4CE 89 222 0 30 Jan 2022
Contrastive Representation Learning: A Framework and Review Phúc H. Lê Khắc Graham Healy A. Smeaton SSL AI4TS 149 670 0 10 Oct 2020
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov Kai Chen G. Corrado J. Dean 3DV 228 29,632 0 16 Jan 2013