Context-aware query suggestions
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 sugges...
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| creator | Zhou, Runfang Motwani, Tanvi Sudarshan Hewlett, Daniel Sairom Krishnan Lwanga, Jeremy Bollam, Sai Krishna Chen, Wenxiang Gerrard, Sara Smoot Guo, Songtao Patry, Alexandre Tang, William |
| description | 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. |
| format | Patent |
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| title | Context-aware query suggestions |
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