Model-enhanced vector index

H Zhang, Y Wang, Q Chen, R Chang… - Advances in …, 2024 - proceedings.neurips.cc
Embedding-based retrieval methods construct vector indices to search for document
representations that are most similar to the query representations. They are widely used in …

Experimental analysis of large-scale learnable vector storage compression

H Zhang, P Zhao, X Miao, Y Shao, Z Liu… - Proceedings of the …, 2023 - dl.acm.org
Learnable embedding vector is one of the most important applications in machine learning,
and is widely used in various database-related domains. However, the high dimensionality …

A Passage-Level Reading Behavior Model for Mobile Search

Z Wu, J Mao, K Xu, D Song, H Huang - Proceedings of the ACM Web …, 2023 - dl.acm.org
Reading is a vital and complex cognitive activity during users' information-seeking process.
Several studies have focused on understanding users' reading behavior in desktop search …