Abstract
Web browsers typically include a navigation bar to enable users to enter URLs or search phrases. The browser often supplies suggestions to complete a URL or search-phrase when the user types a first few characters into the navigation bar. This disclosure provides techniques to provide link or URL suggestions based on text that was recently copied or highlighted by a consenting user. The text is classified into one or more types, e.g., geographical addresses, product categories, foreign language, etc., using a machine learning model. A map is established between text types and URLs associated with such types. When the user activates a navigation bar, e.g., by clicking on it or starting to enter characters, URL suggestions are offered that are based on the map. In this manner, recent context of the user is utilized to improve quality of suggestions or recommendations.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Foerster, Jakob and Sharifi, Matthew, "Providing link suggestions based on recent user activity", Technical Disclosure Commons, (May 31, 2018)
https://www.tdcommons.org/dpubs_series/1215