AUTOMATIC PRIVACY-AWARE MACHINE LEARNING METHOD AND APPARATUS

Disclosed are systems and methods for improving interactions with and between computers in content generating, searching, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within o...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: BAX, Charlotte, BAX, Eric
Format: Patent
Sprache:eng
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Beschreibung
Zusammenfassung:Disclosed are systems and methods for improving interactions with and between computers in content generating, searching, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods provide systems and methods for privacy-aware machine learning using an improved data encoding that withholds more information. The disclosed systems and methods encode a corpus of data and encode each query used in searching and generating query results from the corpus of encoded data.