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youtubednn's Introduction

Impementation paper "Deep Neural Networks for YouTube Recommendation"

Paper is this.
This code use livedoor_news_corpus instead of youtube movie courpus, because we could not get it.

Usage

download learned word2vec model from (https://github.com/Kyubyong/wordvectors). and put in project dir, for example

$ mv ja.bin ~/../youtube_recommendation/.

get mecab

$ brew install mecab mecab-ipadic
$ git clone --depth 1 https://github.com/neologd/mecab-ipadic-neologd.git
$ cd mecab-ipadic-neologd
$ ./bin/install-mecab-ipadic-neologd -n

get liverdoor news corpus

$ pwd 
~/../youtube_recommendation
$ wget https://www.rondhuit.com/download/ldcc-20140209.tar.gz
$ tar xvzf ldcc-20140209.tar.gz

train

$ python3 main.py -target_model ['c' or 'r']  # c is trainning candidate model, r is trainnig ranking model

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