Clustering data describing interactions performed after receipt of a query based on similarity between embeddings for different queries
US12026180B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 4, 2022 |
| Grant date | Jul 2, 2024 |
| Priority date | — |
| Expiry date | May 4, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/0455
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An online system leverages stored interactions with items made by users after the online system received queries to determine display of items satisfying the query. For example, the online system trains a model to predict a likelihood of a user performing an interaction with an item displayed after a query was received. As different items receive different amounts of interaction from users, limited historical interaction with certain items may limit accuracy of the model. The online system generates embeddings for previously received queries and uses measures of similarity between embeddings for queries to generate clusters of queries. Previous interactions with queries in a cluster are combined, with the combined data being used for determining display of items in response to a query.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.