Microsoft Corporation
Methods and systems for personalized, zero-input suggestions based on semi-supervised activity clusters
Last updated:
Abstract:
Examples of the present disclosure describe systems and methods that provide a pipeline to generate personalized queries that are associated with and based on a user's interests determined from a user's past searches, on an Internet search engine, and/or the content the user viewed from the past searches. The suggested queries can be shown in a user interface component associated with the user interface of the search engine and before the user enters anything, such as a new Internet search. This pre-population of searches associated with a user's interests gives an opportunity to the user to try these queries without manually entering in a search string.
Status:
Grant
Type:
Utility
Filling date:
20 Sep 2018
Issue date:
23 Nov 2021