activity
20192026
most citedATBRG: Adaptive Target-Behavior Relational Graph Network for Effective Recommendation

62 citations · 153 across the 36 of their papers we have counts for

collaborators
Showing 2023Show all

5 papers · 1 filter

cs.CV2023★ 1 cited

ReForm-Eval: Evaluating Large Vision Language Models via Unified Re-Formulation of Task-Oriented Benchmarks

Zejun Li, Ye Wang, Mengfei Du +9

Recent years have witnessed remarkable progress in the development of large vision-language models (LVLMs). Benefiting from the strong language backbones and efficient cross-modal…

cs.IR2023

Graph Contrastive Learning with Multi-Objective for Personalized Product Retrieval in Taobao Search

Longbin Li, Chao Zhang, Sen Li +3

In e-commerce search, personalized retrieval is a crucial technique for improving user shopping experience. Recent works in this domain have achieved significant improvements by th…

cs.IR2023★ 3 cited

Rethinking the Role of Pre-ranking in Large-scale E-Commerce Searching System

Zhixuan Zhang, Yuheng Huang, Dan Ou +4

E-commerce search systems such as Taobao Search, the largest e-commerce searching system in China, aim at providing users with the most preferred items (e.g., products). Due to the…

cs.IR2023★ 7 cited

Delving into E-Commerce Product Retrieval with Vision-Language Pre-training

Xiaoyang Zheng, Fuyu Lv, Zilong Wang +2

E-commerce search engines comprise a retrieval phase and a ranking phase, where the first one returns a candidate product set given user queries. Recently, vision-language pre-trai…

cs.IR2023★ 11 cited

MAKE: Vision-Language Pre-training based Product Retrieval in Taobao Search

Xiaoyang Zheng, Zilong Wang, Ke Xu +4

Taobao Search consists of two phases: the retrieval phase and the ranking phase. Given a user query, the retrieval phase returns a subset of candidate products for the following ra…