99 citations · 441 across the 67 of their papers we have counts for
7 papers · 2 filters
Time-Decayed Vector Search in the Rhythm of TANGO: Jointly Modeling Semantic Similarity and Temporal Freshness
Jiuqi Wei, Qiyao Luo, Quanqing Xu +2
Vector search typically measures relevance through semantic similarity under a fixed scoring function. However, in a growing range of applications, relevance may evolve over time,…
AgenticER: the next frontier in Entity Resolution
George Papadakis, Panos Korovesis, Manolis Koubarakis +1
Entity Resolution (ER) is a fundamental problem in data management, playing a critical role in tasks like data cleaning and knowledge graph construction. The existing ER approaches…
Evaluating and Generating Query Workloads for High Dimensional Vector Similarity Search
Matteo Ceccarello, Alexandra Levchenko, Ioana Ileana +1
Similarity search lies at the heart of many modern applications, ranging from databases to deep learning to data series analysis. As such, a vast effort has been invested in develo…
SEAnet: A Deep Learning Architecture for Data Series Similarity Search
Qitong Wang, Themis Palpanas
A key operation for massive data series collection analysis is similarity search. According to recent studies, SAX-based indexes offer state-of-the-art performance for similarity s…
PDET-LSH: Scalable In-Memory Indexing for High-Dimensional Approximate Nearest Neighbor Search with Quality Guarantees
Jiuqi Wei, Xiaodong Lee, Botao Peng +3
Locality-sensitive hashing (LSH) is a well-known solution for approximate nearest neighbor (ANN) search with theoretical guarantees. Traditional LSH-based methods mainly focus on i…
TaCo: Data-adaptive and Query-aware Subspace Collision for High-dimensional Approximate Nearest Neighbor Search
Jiuqi Wei, Zhenyu Liao, Ruoyu Han +3
Approximate Nearest Neighbor Search (ANNS) in high-dimensional Euclidean spaces is a fundamental problem with broad applications. Subspace Collision is a newly proposed ANNS framew…