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Revisiting Neural Retrieval on Accelerators

Revisiting Neural Retrieval on Accelerators

Jiaqi Zhai
Zhaojie Gong
Yueming Wang
Xiao Sun
Zheng Yan
Fu Li
Xing Liu
ArXiv (abs)PDFHTML

Papers citing "Revisiting Neural Retrieval on Accelerators"

4 / 4 papers shown
Title
Finding Interest Needle in Popularity Haystack: Improving Retrieval by Modeling Item Exposure
Finding Interest Needle in Popularity Haystack: Improving Retrieval by Modeling Item Exposure
Rahul Agarwal
Amit Jaspal
Saurabh Gupta
Omkar Vichare
46
0
0
31 Mar 2025
Preference Diffusion for Recommendation
Preference Diffusion for Recommendation
Shuo Liu
An Zhang
Guoqing Hu
Hong Qian
Tat-Seng Chua
160
1
0
17 Oct 2024
Long-Sequence Recommendation Models Need Decoupled Embeddings
Long-Sequence Recommendation Models Need Decoupled Embeddings
Ningya Feng
Junwei Pan
Jialong Wu
Baixu Chen
Ximei Wang
Qian Li
Xian Hu
Jie Jiang
Mingsheng Long
AI4TS
153
3
0
03 Oct 2024
Billion-scale similarity search with GPUs
Billion-scale similarity search with GPUs
Jeff Johnson
Matthijs Douze
Hervé Jégou
422
3,754
0
28 Feb 2017

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