Methods and systems for generating a trained destination prediction model are provided. The method may include obtaining a plurality of historical orders corresponding to a plurality of users and determining a plurality of first features and a plurality of second features associated with the plurality of historical orders. The method may further include determining a plurality of transformed features based on the plurality of first features and a plurality of sets of cross features by correlating the plurality of second features. The method may further include obtaining a preliminary destination prediction model and training the preliminary destination prediction model to obtain a trained destination prediction model based on the plurality of transformed features and the plurality of sets of cross features.


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    Title :

    Systems and methods for generating personalized destination recommendations


    Contributors:
    CHEN RAN (author) / CHEN HUAN (author) / SONG QI (author)

    Publication date :

    2021-05-18


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G01C Messen von Entfernungen, Höhen, Neigungen oder Richtungen , MEASURING DISTANCES, LEVELS OR BEARINGS / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS



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