Patent · US Active

Semantic clustering based retrieval for candidate set expansion

US10733507B2 · kind B2 · utility

0Cited by

1References

20Claims

0Family size

Assignee

MICROSOFT TECHNOLOGY LICENSING, LLC · US

Inventors

Saurabh Kataria · Rochester, US
Dhruv Arya · Sunnyvale, US
Ganesh Venkataraman · Rocky Hill, US

Key dates

Filing date	Jul 25, 2017
Grant date	Aug 4, 2020
Priority date	—
Expiry date	Feb 9, 2039

Classification

Technology area (CPC G)Physics
CPC primaryG06N7/01
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

In an example embodiment, a machine learning algorithm is used to train a query-based deep semantic similarity neural network to output a query context vector in a vector space that includes both query context vectors and document context vectors. Both the query context vectors and document context vectors are clustered using a clustering algorithm. When an input search query is obtained, the input search query is also passed into the query-based deep semantic similarity neural network and its output document context vector assigned to a first cluster based on the clustering algorithm. Documents within the first cluster are then retrieved in response to the input search query.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.