US Patent Application 17716653. METHOD AND SYSTEM OF RETRIEVING ASSETS FROM PERSONALIZED ASSET LIBRARIES simplified abstract
Contents
METHOD AND SYSTEM OF RETRIEVING ASSETS FROM PERSONALIZED ASSET LIBRARIES
Organization Name
Microsoft Technology Licensing, LLC
Inventor(s)
Dachuan Zhang of San Mateo CA (US)
Amit Srivastava of San Jose CA (US)
Adit Krishnan of Mountain View CA (US)
METHOD AND SYSTEM OF RETRIEVING ASSETS FROM PERSONALIZED ASSET LIBRARIES - A simplified explanation of the abstract
- This abstract for appeared for US patent application number 17716653 Titled 'METHOD AND SYSTEM OF RETRIEVING ASSETS FROM PERSONALIZED ASSET LIBRARIES'
Simplified Explanation
This abstract describes a system and method for retrieving assets from a personalized asset library. The system receives a search query and encodes it into embedding representations using a trained machine-learning model. These representations are then compared to a variety of asset representations to identify relevant search results. The identified assets are then displayed as the search result. Importantly, the system generates the asset representations automatically without the need for human labeling.
Original Abstract Submitted
A system and method and for retrieving assets from a personalized asset library includes receiving a search query for searching for assets in one or more asset libraries, the one or more asset libraries including a personalized asset library; encoding the search query into embedding representations via a trained query representation machine-learning (ML) model; comparing, via a matching unit, the query embedding representations to a plurality of asset representations, each of the plurality of asset representations being a representation of one of the plurality of candidate assets; identifying, based on the comparison, at least one of the plurality of the candidate assets as a search result for the search query; and providing the identified plurality of candidate assets for display as the search result. The plurality of asset representations for the one or more assets in the personalized content library are generated automatically without human labeling.
