baldandbrave / recsyscoen6313 Goto Github PK

Implement the Machine Learning (TensorFlow) methods for the recommendation system

Each group will give a 15-minute presentation (including a demonstration) of the project.

• Each group member should participate in the presentation talk, live demo or Q&A.
• Students from other groups should prepare at least one question to ask for each other group.
• Be prepared to answer questions on all the criteria described in the project phases and how your project
  conforms to these criteria.
• Demo: in case of failure, be sure to prepare a backup video demo.

By November 29th Thursday 23:55, each group should submit the report which must include discussions on all of the project phases.

Create a project presentation for OCT 4.

https://drive.google.com/drive/folders/1PBnKIIa1j8wds4Pbgkv2S9aR4d4Zo7VN?usp=sharing

Create a mobile application as additional feature

OpenStack

After #10 and building the spark-mongodb system, we need to import the csv file dataset into the database.
@smcheraghi Please look into the docs of spark, spark-mongodb connector, and mongodb. Spark has APIs in several programming langs including Java and Python, choose the one you are familiar.
@Dvangelion Me and @smcheraghi will collaborate in optimizing the compute workflow in Spark, please check any machine learning tools you might use in Spark.

Useful links:
Spark-mongodb connector doc
Spark doc
Mongodb doc
Spark ML libs doc

@baldandbrave @Lyncis
Could you please give a brief introduction to your project. I'm trying to reproduct the result in TDM, and I found your project from paperwithcode. I think your project has implemented the TDM model in paper which is very valuable for me.

However, I can't see any wiki and brief introduction about your project， which made me very confused. This condition do makes it difficult for me to learn from your project. I think you must hope that more people will find the value of your project, so could you please introduce your project and operation results?

We have the data format of the training data. Please @Dvangelion set the data format between the backend and training model.

Organize the REST API protocol between front-end and back-end

Data Augmentation Generative Adversarial Networks