SCALABLE ENTITY MATCHING WITH FILTERING USING LEARNED EMBEDDINGS AND APPROXIMATE NEAREST NEIGHBOURHOOD SEARCH

SCALABLE ENTITY MATCHING WITH FILTERING USING LEARNED EMBEDDINGS AND APPROXIMATE NEAREST NEIGHBOURHOOD SEARCH

Methods, systems, and computer-readable storage media for a machine learning (ML) system for matching a query entity to one or more target entities, the ML system that reducing a number of query-target entity pairs from consideration as potential matches during inference.

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Bibliographische Detailangaben
Hauptverfasser: Wang, Li Rong, Frank, Matthias, Gullapudi, Sundeep, Nguyen, Hoang-Vu, Arumugam, Rajesh Vellore, Baur, Stefan Klaus
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Beschreibung
Zusammenfassung:Methods, systems, and computer-readable storage media for a machine learning (ML) system for matching a query entity to one or more target entities, the ML system that reducing a number of query-target entity pairs from consideration as potential matches during inference.