Sökning: "Emil Keski-Seppälä"

Hittade 1 uppsats innehållade orden Emil Keski-Seppälä.

  1. 1. Music Predictions Using Deep Learning. Could LSTM Networks be the New Standard for Collaborative Filtering?

    Kandidat-uppsats, KTH/Skolan för datavetenskap och kommunikation (CSC)

    Författare :Emil Keski-Seppälä; Michael Snellman; [2016]
    Nyckelord :;

    Sammanfattning : Predicting the product a customer would like to buy is an increasingly important field of study and there are several different recommender system models that are used to make recommendations for users. Deep learning has shown effective results in a variety of predictive tasks but there haven’t been much research concerning its usage in recommender systems. LÄS MER