Approximate nearest neighbor search (ANNS) constitutes an important operation in a
multitude of applications, including recommendation systems, information retrieval, and …

Approximate nearest neighbour search (ANNS) in high-dimensional space is an essential
and fundamental operation in many applications from many domains such as multimedia …

A conversational information retrieval (CIR) system is an information retrieval (IR) system
with a conversational interface, which allows users to interact with the system to seek …

This paper introduces an efficient and robust framework for hybrid query (HQ) processing,
which combines approximate nearest neighbor search (ANNS) with attribute constraint. HQ …

Approximate K nearest neighbor (AKNN) search in the high-dimensional Euclidean vector
space is a fundamental and challenging problem. We observe that in high-dimensional …

The recent popularity of learned embeddings has fueled the growth of massive collections of
high-dimensional (high-d) vectors that model complex data. Finding similar vectors in these …

Approximate K-Nearest Neighbor Search (AKNNS) has now become ubiquitous in modern
applications, such as a fast search procedure with two-tower deep learning models. Graph …

Approximate nearest neighbor (ANN) search is a fundamental search in multi-dimensional
databases, which has numerous real-world applications, such as image retrieval …

Approximate nearest neighbor search (ANNS) in high-dimensional vector spaces has
become increasingly crucial in database and machine learning applications. Most previous …

Similarity search is a core operation of many critical applications, involving massive
collections of high-dimensional (high-d) objects. Objects can be data series, text …