圖記5.gif (1644 bytes) Abstract
 This proposal is about KDD CUP 2011 of the Neuron Network course homework. I will use Data Mining and Neuron Network method to classify the dataset. The dataset in KDD CUP 2011 is to learn the rhythm and predict the musical scores based on the Yahoo! Music Dataset.

 

The KDD Cup contest releases over 300 million ratings performed by over 1 million anonymized users. The ratings are given to different types of items-songs, albums, artists, genres-all tied together within a known taxonomy.

 

Because the Datasets is huge, so the time efficiency of predict result is challenge from dataset and

extract the future from datasets.

Two Tracks
The competition is divided into two tracks:
  • The first track is aimed at predicting scores that users gave to various items.
  • The second track requires separation of loved songs from other songs.

 

圖記5.gif (1644 bytes) Progress Report

new.gif (2347 bytes) KDD CUP 2011 Progress Report  (2011/06/02 )