most citedIntentGC: a Scalable Graph Convolution Framework Fusing Heterogeneous Information for Recommendation

158 citations · 161 across the 5 of their papers we have counts for

collaborators

5 papers

cs.GT2023★ 2 cited

Cross-channel Budget Coordination for Online Advertising System

Guangyuan Shen, Shenjie Sun, Dehong Gao +4

In online advertising (Ad), advertisers are always eager to know how to globally optimize their budget allocation strategies across different channels for more conversions such as…

cs.IR2023★ 1 cited

EdgeNet : Encoder-decoder generative Network for Auction Design in E-commerce Online Advertising

Guangyuan Shen, Shengjie Sun, Dehong Gao +3

We present a new encoder-decoder generative network dubbed EdgeNet, which introduces a novel encoder-decoder framework for data-driven auction design in online e-commerce advertisi…

cs.IR2023

Unified Vision-Language Representation Modeling for E-Commerce Same-Style Products Retrieval

Ben Chen, Linbo Jin, Xinxin Wang +3

Same-style products retrieval plays an important role in e-commerce platforms, aiming to identify the same products which may have different text descriptions or images. It can be…

cs.IR2019★ 158 cited

IntentGC: a Scalable Graph Convolution Framework Fusing Heterogeneous Information for Recommendation

Jun Zhao, Zhou Zhou, Ziyu Guan +4

The remarkable progress of network embedding has led to state-of-the-art algorithms in recommendation. However, the sparsity of user-item interactions (i.e., explicit preferences)…

cs.IR2019

Personalized Attraction Enhanced Sponsored Search with Multi-task Learning

Wei Zhao, Boxuan Zhang, Beidou Wang +6

We study a novel problem of sponsored search (SS) for E-Commerce platforms: how we can attract query users to click product advertisements (ads) by presenting them features of prod…