<commit_before>{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "# Neural network hybrid recommendation system on Google Analytics data model and training\n",
    "\n",
    "This notebook demonstrates how to implement a hybrid recommendation system using a neural network to combine content-based and collaborative filtering recommendation models using Google Analytics data. We are going to use the learned user embeddings from [wals.ipynb](wals.ipynb) and combine that with our previous content-based features from [content.ipynb](content.ipynb)\n",
    "\n",<commit_msg>Fixing relative links<commit_after>{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "# Neural network hybrid recommendation system on Google Analytics data model and training\n",
    "\n",
    "This notebook demonstrates how to implement a hybrid recommendation system using a neural network to combine content-based and collaborative filtering recommendation models using Google Analytics data. We are going to use the learned user embeddings from [wals.ipynb](../wals.ipynb) and combine that with our previous content-based features from [content_based_using_neural_networks.ipynb](../content_based_using_neural_networks.ipynb)\n",
    "\n",
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