US 12,468,715 B2
Performing targeted searching based on a user profile
Junaid Ahmed, Bellevue, WA (US); Waleed Malik, Bellevue, WA (US); and Arnold Overwijk, Bellevue, WA (US)
Assigned to Microsoft Technology Licensing, LLC, Redmond, WA (US)
Filed by Microsoft Technology Licensing, LLC, Redmond, WA (US)
Filed on Feb. 12, 2024, as Appl. No. 18/438,863.
Application 18/438,863 is a continuation of application No. 17/163,278, filed on Jan. 29, 2021, granted, now 11,921,728.
Prior Publication US 2024/0184790 A1, Jun. 6, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. G06F 17/00 (2019.01); G06F 7/00 (2006.01); G06F 16/2457 (2019.01); G06N 20/00 (2019.01)
CPC G06F 16/24578 (2019.01) [G06N 20/00 (2019.01)] 20 Claims
OG exemplary drawing
 
1. A method for performing a targeted search based on user interests, the method comprising:
generating a user embedding as a low-dimensional space representation of a user based on user information via a first machine learning model;
generating a plurality of document embeddings as low-dimensional space representations of documents via a second machine learning model;
receiving a user identifier for the user;
retrieving the user embedding based on the user identifier;
ranking one or more document embeddings of the plurality of document embeddings based on the user embedding; and
recommending to the user at least one document based on the ranking of the document embeddings.