Model training method, vectorization recall method, related equipment and storage medium

The invention discloses a model training method, a vectorization recall method, a model training device, a vectorization recall device, first electronic equipment, second electronic equipment and a storage medium. The model training method comprises the steps that a first participant of model traini...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: YANG SHIHAO, DU BAOKUN, QIN XIAOHUA, PENG CHANGPING
Format: Patent
Sprache:chi ; eng
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Beschreibung
Zusammenfassung:The invention discloses a model training method, a vectorization recall method, a model training device, a vectorization recall device, first electronic equipment, second electronic equipment and a storage medium. The model training method comprises the steps that a first participant of model training determines a first training data set aligned with a second participant of model training based on a federated learning technology; the first training data set comprises first-class user feature data, advertisement feature data and encryption model parameters of the second participant, wherein the encryption model parameters of the second participant are acquired from the second participant; a first model is trained by using a first loss function and a second loss function based on the first training data set; wherein the first model is used for determining a first type of user feature vector and an advertisement feature vector, and predicting a click pass rate (CTR) of the advertisement based on the first type o