meabhishekkumar/strata-conference-ca-2018

environment setup for strata conference 2018

Deep Learning Based Search and Recommendation System

Strata Conference , March - 2018, San Jose

Presenters

• Dr. Vijay Agneeswaran [ LinkedIn : http://bit.ly/vijaysa Twitter : @a_vijaysrinivas ]
• Abhishek Kumar [ LinkedIn : http://bit.ly/kumarabhishek Twitter : @meabhishekkumar ]

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Session Content

1. Slides [ PDF : https://github.com/meabhishekkumar/strata-conference-ca-2018/blob/master/deep_learning_based_search_and_recommender_system.pdf ]
2. Notebooks
   • Data Preparation : Download required data to your local machine [https://github.com/meabhishekkumar/strata-conference-ca-2018/blob/master/01_data_preperation.ipynb ]
   • Short Introduction to Embeddings in Tensorflow
   • Image Search using Tensorflow
   • Explicit Feedback Based Recommendation System using Tesnorflow
   • Implicit Feedback Based Recommendation System

Setting up the Enviornment

You can easily setup the enviornment with all required components ( data and notebooks ) with the help of Docker.

Here are the steps.

1. Install Docker on your local machine. You will required documentation on Docker website [ https://docs.docker.com/install/ ]

2. Make sure Docker is working fine. If you are not getting any error and able to see the docker

$ docker --version

3. Download the docker image and create container for the tutorial

$ docker run -it --rm -p 8888:8888 -p 0.0.0.0:6006:6006 meabhishekkumar/strata-ca-2018

Reference Papers

1. Restricted Boltzmann Machines for Collaborative Filtering by Ruslan Salakhutdinov. Source: http://www.machinelearning.org/proceedings/icml2007/papers/407.pdf
2. Wide & Deep Learning for Recommender Systems by Heng-Tze Cheng. Source: https://arxiv.org/abs/1606.07792
3. A Survey and Critique of Deep Learning on Recommender Systems by Lei Zheng. Source: http://bdsc.lab.uic.edu/docs/survey-critique-deep.pdf
4. DeepFM: A Factorization-Machine based Neural Network for CTR Prediction. IJCAI2017 Source: https://arxiv.org/abs/1703.04247
5. Deep Neural Networks for YouTube Recommendations by Paul Covington. Source: https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/45530.pdf

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Credits :

• Recommendation system notebooks are inspired by Olivier Grisel work using Keras