公开(公告)号：US11580099B2

公开(公告)日：2023-02-14

申请号：US17038395

申请日：2020-09-30

Applicant: Microsoft Technology Licensing, LLC

Inventor： Wenxiang Chen ,  William Tang ,  Runfang Zhou ,  Tanvi Sudarshan Motwani ,  Jeremy Lwanga ,  Sara Smoot Gerrard ,  Daniel Sairom Krishnan Hewlett ,  Alexandre Patry ,  Songtao Guo ,  Sai Krishna Bollam

IPC: G06F16/00 ,  G06F16/242 ,  G06K9/62 ,  G06F16/9032 ,  G06F16/9035

Abstract: 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.

公开(公告)号：US20220100746A1

公开(公告)日：2022-03-31

申请号：US17038395

申请日：2020-09-30

Applicant: Microsoft Technology Licensing, LLC

Inventor： Wenxiang Chen ,  William Tang ,  Runfang Zhou ,  Tanvi Sudarshan Motwani ,  Jeremy Lwanga ,  Sara Smoot Gerrard ,  Daniel Sairom Krishnan Hewlett ,  Alexandre Patry ,  Songtao Guo ,  Sai Krishna Bollam

IPC: G06F16/242 ,  G06F16/9035 ,  G06F16/9032 ,  G06K9/62

Abstract: 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.