GitHub - sandeepnair2812/Deep-Learning-Based-Search-and-Recommendation-System

Deep Learning Based Search and Recommendation System

Presenters

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

Slides [ PDF : https://github.com/meabhishekkumar/strata-conference-ca-2018/blob/master/deep_learning_based_search_and_recommender_system.pdf ]
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

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

Here are the steps.

Install Docker on your local machine. You will required documentation on Docker website [ https://docs.docker.com/install/ ]
Make sure Docker is working fine. If you are not getting any error and able to see the docker

$ docker --version

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

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

Credits :

Name		Name	Last commit message	Last commit date
Latest commit History 6 Commits
images		images
.gitignore		.gitignore
01_Data_Preperation_0.ipynb		01_Data_Preperation_0.ipynb
01_Data_Preperation_Rendered.ipynb		01_Data_Preperation_Rendered.ipynb
02_Short_Intro_to_Embeddings_with_Tensorflow_0.ipynb		02_Short_Intro_to_Embeddings_with_Tensorflow_0.ipynb
02_Short_Intro_to_Embeddings_with_Tensorflow_Rendered.ipynb		02_Short_Intro_to_Embeddings_with_Tensorflow_Rendered.ipynb
03_Image_Search_Using_AlexNet_0.ipynb		03_Image_Search_Using_AlexNet_0.ipynb
03_Image_Search_Using_AlexNet_Rendered.ipynb		03_Image_Search_Using_AlexNet_Rendered.ipynb
04_Explicit_Feedback_deep_learning_with_Tensorflow_0.ipynb		04_Explicit_Feedback_deep_learning_with_Tensorflow_0.ipynb
04_Explicit_Feedback_deep_learning_with_Tensorflow_Rendered.ipynb		04_Explicit_Feedback_deep_learning_with_Tensorflow_Rendered.ipynb
05-Implicit_Feedback_with_the_triplet_loss_with_Tensorflow_0.ipynb		05-Implicit_Feedback_with_the_triplet_loss_with_Tensorflow_0.ipynb
05-Implicit_Feedback_with_the_triplet_loss_with_Tensorflow_Rendered.ipynb		05-Implicit_Feedback_with_the_triplet_loss_with_Tensorflow_Rendered.ipynb
README.md		README.md
deep_learning_based_search_and_recommender_system.pdf		deep_learning_based_search_and_recommender_system.pdf