Microsoft Technology Licensing, LLC

Sai Krishna Bollam

Songtao Guo

Daniel Sairom Krishnan Hewlett

Sara Smoot Gerrard

Alexandre Patry

Runfang Zhou

Jeremy Lwanga

William Tang

Wenxiang Chen

Tanvi Sudarshan Motwani

Methods are presented for providing dynamic search filter suggestions that are updated and ranked based on the user filter selections. One method includes detecting a query received in a user interface (UI), calculating, by a search-candidate model, first search results, and calculating, by a suggestions model, first filter suggestions for filter categories to filter responses to the query. The suggestions model is obtained by training a machine-learning algorithm utilizing pairwise learning-to-rank modeling. The first search results and the first filter suggestions are presented in the UI. When a selection in the UI of a filter suggestion is detected, the search-candidate model calculates second search results for the filter categories based on the query and the selected filter suggestion, and the suggestions model calculates second first filter suggestions based on the query and the selected filter suggestion. The second search results and the second filter suggestions are presented in the UI.

Context-aware query suggestions

Growing community of inventors

Sunnyvale, CA, United States of America

Sai Krishna Bollam