Speed-up your sites with web-page prefetching using Machine Learning

While our training example only contains two training features (cur_page and session_index), additional features from Google Analytics can be easily added to create a richer dataset and used for training to create a more powerful model. To do so, extend the following code: def ga_session_to_tensorflow_examples(session): examples = [] for i in range(len(session)-1): features = {‘cur_page’: [session

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“機械学習を使用したウェブページのプリフェッチでサイトをスピードアップ”