Deep Neural Networks for YouTube Recommendations

purpose libraries can be used [12]. We found that A/B re-sults were not particularly sensitive to the choice of nearest neighbor search algorithm. 3.2 Model Architecture Inspired by continuous bag of words language models [14], we learn high dimensional embeddings for each video in a xed vocabulary and feed these embeddings into a feedfor-

  Network, Recommendations, Neural, Libraries, Youtube, Neural networks for youtube recommendations