Using Hotel Data to predict High Value And Potential VIP Guests

Last update: Feb 14, 2022

Related tags

Overview

Description

Using hotel data and AI to predict high value guests and potential VIP guests.

Hotel can leverage on prediction resutls to run more effective email marketing campaign, focus on the right target customers with only limited resources, and deliver better customer experiences.

Technology stack

Web/Frontend

Angular 11
Graphql
Lib: amchart, material, foundation

Server/Backend

Spring boot 2
graphql-java 11
Lib: graphql-java-tool, log4j, POI, commons-io, httpclient

AI Services

Python 3.8
Lib: Pandas, Featuretools, Scikit-learn, Numpy

Architecture

AI Pipeline Explanation

Demo

Video demo

Deployment

docker-compose up --build -d

Contributors

_{Duy Nguyen}

_{Hien Cao}

_{Quoc Nguyen}

_{Hai Vo}

_{Minh Nguyen}

_{Hoang Anh Nguyen}

MIT

Owner

HCG

GitHub Repository

[SIGIR22] Official PyTorch implementation for "CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space".

CORE This is the official PyTorch implementation for the paper: Yupeng Hou, Binbin Hu, Zhiqiang Zhang, Wayne Xin Zhao. CORE: Simple and Effective Sess

26 Dec 19, 2022

Tweesent-back - Tweesent backend uses fastAPI as the web framework

TweeSent Backend Tweesent backend. This repo uses fastAPI as the web framework.

0 Mar 26, 2022

Official code of ICCV2021 paper "Residual Attention: A Simple but Effective Method for Multi-Label Recognition"

CSRA This is the official code of ICCV 2021 paper: Residual Attention: A Simple But Effective Method for Multi-Label Recoginition Demo, Train and Vali

163 Dec 22, 2022

Session-aware Item-combination Recommendation with Transformer Network

Session-aware Item-combination Recommendation with Transformer Network 2nd place (0.39224) code and report for IEEE BigData Cup 2021 Track1 Report EDA

6 Mar 10, 2022

Code repo for "RBSRICNN: Raw Burst Super-Resolution through Iterative Convolutional Neural Network" (Machine Learning and the Physical Sciences workshop in NeurIPS 2021).

RBSRICNN: Raw Burst Super-Resolution through Iterative Convolutional Neural Network An official PyTorch implementation of the RBSRICNN network as desc

6 Nov 14, 2022

Deep Learning for Time Series Classification

Deep Learning for Time Series Classification This is the companion repository for our paper titled "Deep learning for time series classification: a re

1.2k Jan 02, 2023

Trafffic prediction analysis using hybrid models - Machine Learning

Hybrid Machine learning Model Clone the Repository Create a new Directory as assests and download the model from the below link Model Link To Start th

1 Feb 08, 2022

Official implementation for Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder at NeurIPS 2020

Likelihood-Regret Official implementation of Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder at NeurIPS 2020. T

33 Oct 12, 2022

This is the official implementation of Elaborative Rehearsal for Zero-shot Action Recognition (ICCV2021)

Elaborative Rehearsal for Zero-shot Action Recognition This is an official implementation of: Shizhe Chen and Dong Huang, Elaborative Rehearsal for Ze

26 Sep 24, 2022

Style transfer between images was performed using the VGG19 model

Style transfer between images was performed using the VGG19 model. The necessary codes, libraries and all other information of this project are available below

2 May 09, 2022

The 1st Place Solution of the Facebook AI Image Similarity Challenge (ISC21) : Descriptor Track.

ISC21-Descriptor-Track-1st The 1st Place Solution of the Facebook AI Image Similarity Challenge (ISC21) : Descriptor Track. You can check our solution

75 Jan 08, 2023

Source code for Fathony, Sahu, Willmott, & Kolter, "Multiplicative Filter Networks", ICLR 2021.

Multiplicative Filter Networks This repository contains a PyTorch MFN implementation and code to perform & reproduce experiments from the ICLR 2021 pa

66 Jan 04, 2023

A neuroanatomy-based augmented reality experience powered by computer vision. Features 3D visuals of the Atlas Brain Map slices.

Brain Augmented Reality (AR) A neuroanatomy-based augmented reality experience powered by computer vision that features 3D visuals of the Atlas Brain

10 Oct 06, 2022

TorchGeo is a PyTorch domain library, similar to torchvision, that provides datasets, transforms, samplers, and pre-trained models specific to geospatial data.

1.3k Dec 30, 2022