Tensor-based deep relevance model for search on online social networks
US10268646B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 6, 2017 |
| Grant date | Apr 23, 2019 |
| Priority date | — |
| Expiry date | Nov 17, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/9535
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In one embodiment, a method includes receiving, from a client system associated with a user, a search query comprising a number of query terms, generating a query match-matrix for the search query, identifying a number of objects matching the search query, retrieving, for each identified object, an object match-matrix for the identified object, constructing, for each identified object, a three-dimensional tensor for the identified object, computing, for each identified object, a relevance score based on the tensor for the identified object, ranking the identified objects based on their respective relevance scores, and sending, to the first client system in response to the search query, instructions for generating a search-results interface for presentation to the user.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.