Abstract
Users often enter terms into a search box and then modify the query. Such modifications may be based on, e.g., the real-time query suggestions offered by the search engine, or the user thinking of a different phrasing for the query. Such changes to entered search terms prior to executing the search are not captured in the search history, and are not taken into account for tailoring post-search query suggestions or search results. This disclosure describes the use of a trained machine learning model to customize query suggestions and/or search results based on terms previously typed in the search box, obtained with the user’s permission.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Sze, Cliff Chin Ngai and Zhang, Lingyi, "Improving Query Suggestions Based On Search Box Edits", Technical Disclosure Commons, (December 08, 2020)
https://www.tdcommons.org/dpubs_series/3859