'A C2C E-COMMERCE TRUST MODEL BASED ON REPUTATION' Python implementation

Overview

Project description

A library providing functionalities to calculate reputation and degree of trust on C2C ecommerce platforms.
The work is fully based on the paper 'A C2C E-COMMERCE TRUST MODEL BASED ON REPUTATION' by China University of Mining and Technology.
It can be found here: http://www.jatit.org/volumes/Vol96No11/27Vol96No11.pdf

Implementation steps

  • direct trust - buyer to seller
  • seller's reputation
  • business trust
  • commodity trust
  • comprehensive trust degree

Current work

Direct trust has been implemented but is missing tests. That's the priority for now!
APIs are to be defined yet, methods exposed by direct trust module are a draft and they may change in the future.

Owner
Davide Bigotti
Davide Bigotti
Resources complimenting the Machine Learning Course led in the Faculty of mathematics and informatics part of Sofia University.

Machine Learning and Data Mining, Summer 2021-2022 How to learn data science and machine learning? Programming. Learn Python. Basic Statistics. Take a

Simeon Hristov 8 Oct 04, 2022
A large dataset of 100k Google Satellite and matching Map images, resembling pix2pix's Google Maps dataset.

Larger Google Sat2Map dataset This dataset extends the aerial ⟷ Maps dataset used in pix2pix (Isola et al., CVPR17). The provide script download_sat2m

34 Dec 28, 2022
Code for Contrastive-Geometry Networks for Generalized 3D Pose Transfer

Code for Contrastive-Geometry Networks for Generalized 3D Pose Transfer

18 Jun 28, 2022
Codes for the AAAI'22 paper "TransZero: Attribute-guided Transformer for Zero-Shot Learning"

TransZero [arXiv] This repository contains the testing code for the paper "TransZero: Attribute-guided Transformer for Zero-Shot Learning" accepted to

Shiming Chen 52 Jan 01, 2023
Simply enable or disable your Nvidia dGPU

EnvyControl (WIP) Simply enable or disable your Nvidia dGPU Usage First clone this repo and install envycontrol with sudo pip install . CLI Turn off y

Victor Bayas 292 Jan 03, 2023
MADE (Masked Autoencoder Density Estimation) implementation in PyTorch

pytorch-made This code is an implementation of "Masked AutoEncoder for Density Estimation" by Germain et al., 2015. The core idea is that you can turn

Andrej 498 Dec 30, 2022
Processed, version controlled history of Minecraft's generated data and assets

mcmeta Processed, version controlled history of Minecraft's generated data and assets Repository structure Each of the following branches has a commit

Misode 75 Dec 28, 2022
🛠️ Tools for Transformers compression using Lightning ⚡

Bert-squeeze is a repository aiming to provide code to reduce the size of Transformer-based models or decrease their latency at inference time.

Jules Belveze 66 Dec 11, 2022
Source code for "UniRE: A Unified Label Space for Entity Relation Extraction.", ACL2021.

UniRE Source code for "UniRE: A Unified Label Space for Entity Relation Extraction.", ACL2021. Requirements python: 3.7.6 pytorch: 1.8.1 transformers:

Wang Yijun 109 Nov 29, 2022
Towards Boosting the Accuracy of Non-Latin Scene Text Recognition

Convolutional Recurrent Neural Network + CTCLoss | STAR-Net Code for paper "Towards Boosting the Accuracy of Non-Latin Scene Text Recognition" Depende

Sanjana Gunna 7 Aug 07, 2022
An Intelligent Self-driving Truck System For Highway Transportation

Inceptio Intelligent Truck System An Intelligent Self-driving Truck System For Highway Transportation Note The code is still in development. OS requir

InceptioResearch 11 Jul 13, 2022
A sketch extractor for anime/illustration.

Anime2Sketch Anime2Sketch: A sketch extractor for illustration, anime art, manga By Xiaoyu Xiang Updates 2021.5.2: Upload more example results of anim

Xiaoyu Xiang 1.6k Jan 01, 2023
A modern pure-Python library for reading PDF files

pdf A modern pure-Python library for reading PDF files. The goal is to have a modern interface to handle PDF files which is consistent with itself and

6 Apr 06, 2022
《A-CNN: Annularly Convolutional Neural Networks on Point Clouds》(2019)

A-CNN: Annularly Convolutional Neural Networks on Point Clouds Created by Artem Komarichev, Zichun Zhong, Jing Hua from Department of Computer Science

Artёm Komarichev 44 Feb 24, 2022
Multiband spectro-radiometric satellite image analysis with K-means cluster algorithm

Multi-band Spectro Radiomertric Image Analysis with K-means Cluster Algorithm Overview Multi-band Spectro Radiomertric images are images comprising of

Chibueze Henry 6 Mar 16, 2022
Codebase for Time-series Generative Adversarial Networks (TimeGAN)

Codebase for Time-series Generative Adversarial Networks (TimeGAN)

Jinsung Yoon 532 Dec 31, 2022
E2C implementation in PyTorch

Embed to Control implementation in PyTorch Paper can be found here: https://arxiv.org/abs/1506.07365 You will need a patched version of OpenAI Gym in

Yicheng Luo 42 Dec 12, 2022
【ACMMM 2021】DSANet: Dynamic Segment Aggregation Network for Video-Level Representation Learning

DSANet: Dynamic Segment Aggregation Network for Video-Level Representation Learning (ACMMM 2021) Overview We release the code of the DSANet (Dynamic S

Wenhao Wu 46 Dec 27, 2022
An open-source online reverse dictionary.

An open-source online reverse dictionary.

THUNLP 6.3k Jan 09, 2023
AlgoVision - A Framework for Differentiable Algorithms and Algorithmic Supervision

NeurIPS 2021 Paper "Learning with Algorithmic Supervision via Continuous Relaxations"

Felix Petersen 76 Jan 01, 2023