Model-enhanced vector index
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 …
representations that are most similar to the query representations. They are widely used in …
Experimental analysis of large-scale learnable vector storage compression
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 …
and is widely used in various database-related domains. However, the high dimensionality …
A Passage-Level Reading Behavior Model for Mobile Search
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 …
Several studies have focused on understanding users' reading behavior in desktop search …