Recommendation Systems for IBM Watson Studio platform

Last update: Jan 21, 2022

Overview

Recommendation-Systems-for-IBM-Watson-Studio-platform

Project Overview

In this project, I analyze the interactions that users have with articles on the IBM Watson Studio platform, and recommend new articles.

Project Components

Exploratory Data Analysis.
Rank Based Recommendations.
User-User Based Collaborative Filtering.
Matrix Factorization.

Graph Neural Networks for Recommender Systems

This repository contains code to train and test GNN models for recommendation, mainly using the Deep Graph Library (DGL).

217 Jan 4, 2023

NVIDIA Merlin is an open source library designed to accelerate recommender systems on NVIDIA’s GPUs.

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420 Jan 4, 2023

Collaborative variational bandwidth auto-encoder (VBAE) for recommender systems.

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QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)

QRec is a Python framework for recommender systems (Supported by Python 3.7.4 and Tensorflow 1.14+) in which a number of influential and newly state-of-the-art recommendation models are implemented. QRec has a lightweight architecture and provides user-friendly interfaces. It can facilitate model implementation and evaluation.

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Minimal GUI for accessing the Watson Text to Speech service.

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Make Watson Assistant send messages to your Discord Server

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Every Google, Azure & IBM text to speech voice for free

TTS-Grabber Quick thing i made about a year ago to download any text with any tts voice, over 630 voices to choose from currently. It will split the i

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A simple Blog Using Django Framework and Used IBM Cloud Services for Text Analysis and Text to Speech

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5 Dec 6, 2022

Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to cloud management, in a language that approaches plain English, using SSH, with no agents to install on remote systems. https://docs.ansible.com.

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Elliot is a comprehensive recommendation framework that analyzes the recommendation problem from the researcher's perspective.

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

Information Systems Lab @ Polytechnic University of Bari

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Recommendationsystem - Movie-recommendation - matrixfactorization colloborative filtering recommendation system user

recommendationsystem matrixfactorization colloborative filtering recommendation

1 Jan 1, 2022

Product-based-recommendation-system - A product based recommendation system which uses Machine learning algorithm such as KNN and cosine similarity

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Best Practices on Recommendation Systems

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Persine is an automated tool to study and reverse-engineer algorithmic recommendation systems.

Persine, the Persona Engine Persine is an automated tool to study and reverse-engineer algorithmic recommendation systems. It has a simple interface a

87 Nov 29, 2022

UMEC: Unified Model and Embedding Compression for Efficient Recommendation Systems

[ICLR 2021] "UMEC: Unified Model and Embedding Compression for Efficient Recommendation Systems" by Jiayi Shen, Haotao Wang*, Shupeng Gui*, Jianchao Tan, Zhangyang Wang, and Ji Liu

39 Dec 3, 2022

paper list in the area of reinforcenment learning for recommendation systems

23 Jun 9, 2022

Recommendation systems are among most widely preffered marketing strategies.

Recommendation systems are among most widely preffered marketing strategies. Their popularity comes from close prediction scores obtained from relationships of users and items. In this project, two recommendation systems are used for two different datasets: Association Recommendation Learning and Collaborative Filtering. Please read the description for more info.

8 Oct 6, 2021

Owner

Milad Sadat-Mohammadi

GitHub

A Python implementation of LightFM, a hybrid recommendation algorithm.

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A TensorFlow recommendation algorithm and framework in Python.

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ToR[e]cSys is a PyTorch Framework to implement recommendation system algorithms

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90 Oct 8, 2022

A framework for large scale recommendation algorithms.

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Recommendation System to recommend top books from the dataset

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An open source movie recommendation WebApp build by movie buffs and mathematicians that uses cosine similarity on the backend.

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8 May 28, 2022