J Wang, X Yi, R Guo, H Jin, P Xu, S Li, X Wang… - Proceedings of the …, 2021 - dl.acm.org
Recently, there has been a pressing need to manage high-dimensional vector data in data science and AI applications. This trend is fueled by the proliferation of unstructured data and …
Since the advent of personal computing devices, intelligent personal assistants (IPAs) have been one of the key technologies that researchers and engineers have focused on, aiming …
W Zhao, D Xie, R Jia, Y Qian, R Ding… - … of Machine Learning …, 2020 - proceedings.mlsys.org
Neural networks of ads systems usually take input from multiple resources, eg query-ad relevance, ad features and user portraits. These inputs are encoded into one-hot or multi-hot …
Since its discovery, surface-enhanced Raman spectroscopy (SERS) has shown outstanding promise of identifying trace amounts of unknown molecules in rapid, portable formats …
As one of the major search engines in the world, Baidu's Sponsored Search has long adopted the use of deep neural network (DNN) models for Ads click-through rate (CTR) …
M Fan, J Guo, S Zhu, S Miao, M Sun, P Li - Proceedings of the 25th ACM …, 2019 - dl.acm.org
Baidu runs the largest commercial web search engine in China, serving hundreds of millions of online users every day in response to a great variety of queries. In order to build a high …
J Jang, H Choi, H Bae, S Lee, M Kwon… - 2023 USENIX Annual …, 2023 - usenix.org
We propose CXL-ANNS, a software-hardware collaborative approach to enable highly scalable approximate nearest neighbor search (ANNS) services. To this end, we first …
Approximate Nearest Neighbor Search (ANNS) plays a critical role in various disciplines spanning data mining and artificial intelligence, from information retrieval and computer …
R Guo, X Luan, L Xiang, X Yan, X Yi, J Luo… - arXiv preprint arXiv …, 2022 - arxiv.org
With the development of learning-based embedding models, embedding vectors are widely used for analyzing and searching unstructured data. As vector collections exceed billion …