User Data Learning Based on Recurrent Neural Networks with Long Short Term Memory

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United States of America Patent

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15233083

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Abstract

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Various systems, mediums, and methods may perform operations, such as collecting various types of data from one or more data sources. Further, the operations may include learning user behaviors based on iterations of the collected historical data with a recurrent neural network (RNN) with long short term memory (LSTM). Yet further, the operations may include determining one or more feature vectors that represents the learned user behaviors. In addition, the operations may include generating one or more models associated with the learned user behaviors based on the one or more determined vectors.

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PAYPAL INC2211 NORTH FIRST STREET SAN JOSE CA 95131

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Kurniadi, Fransisco Dublin, US 15 91
Lu, Lingyi San Jose, US 2 18
Yang, Yaqin San Jose, US 12 56

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