Embedding-based retrieval techniques for feeds
US11960550B1 · kind B1 · utility
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20Claims
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Key dates
| Filing date | Oct 26, 2022 |
| Grant date | Apr 16, 2024 |
| Priority date | — |
| Expiry date | Oct 26, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/2462
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Described herein is a technique to facilitate filtering during candidate retrieval stage performed by an information retrieval system that utilizes embedding models. An aNN indexing structure is created for each end-user, and in some instances, each activity type. This allows a single request for candidate content items to invoke a single process to obtain content items that satisfy the filtering criteria (e.g., in this case, the in-network requirement) from the separate per-end-user indexes.
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