PRIVACY-SENSITIVE TRAINING OF USER INTERACTION PREDICTION MODELS
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United States of America
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Mar 6, 2025
app pub date -
Nov 15, 2024
filing date -
Nov 15, 2024
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Abstract
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for collaboratively training an interaction prediction machine learning model using a plurality of user devices in a manner that respects user privacy. In one aspect, the machine learning model is configured to process an input comprising: (i) a search query, and (ii) a data element, to generate an output which characterizes a likelihood that a given user would interact with the data element if the data element were presented to the given user on a webpage identified by a search result responsive to the search query.
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