Personalized Training for the Sequence Learning task with the NAO robot and the MUSE EEG sensor
-
Updated
Nov 21, 2017 - Python
Personalized Training for the Sequence Learning task with the NAO robot and the MUSE EEG sensor
Code and Data for paper: Beyond Views: Measuring and Predicting Engagement in Online Videos (ICWSM '18)
The Location-Based Notifications Using Amazon Pinpoint solution allows you to engage with your customers based on their location. You can use the solution to create and manage geographic boundaries (geofences) around any businesses or points of interest.
Implementation of "Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps"
All-in-One reactions plugin for any Content Type. Simple & flexible.
【KDD'20】OptMatch: Optimized Matchmaking via Modeling the High-Order Interactions on the Arena
A smart, customizable, and condition-based in-app rating management package for Flutter. Developed by Doğuş Teknoloji.Doğuş Teknoloji Flutter Smart Rating
【WWW'17】A toy reproduction of the paper - EOMM: An Engagement Optimized Matchmaking.
Unofficial implementation for【WWW'17】 EOMM: An Engagement Optimized Matchmaking.
Project: Discord Server Activity Tracker. Created at https://spectra.codes, which is owned by @Drix10
engagement metrics - Javascript SDK
Supplementary material for the paper "Resilience of political leaders and healthcare organizations during COVID-19"
Analyze WhatsApp chats with Python, Streamlit, and data visualization. Explore messaging patterns, content trends, and emoji usage to uncover insights from your conversations.
Build a Progressive Web App (PWA) that feels like an iOS & Android App, using Device Camera, Push Notifications and more
An innovative Android app designed to enhance public oversight of traffic law enforcement in Taiwan. Features seamless integration with existing Traffic-Violation-Report-System server for real-time updates and community engagement.
This repository hosts the MVP for 'MDD', a developer-centric social network designed to streamline job searches and enhance collaboration within the developer community. The project encompasses a full-stack application with a focus on user subscriptions to programming topics, content sharing, and engagement through articles and comments.
Chabok Empty Trusted Web Activity (TWA) Application for Starters
Performs exploratory data analysis on a video game dataset, examining titles, release dates, teams, ratings, genres, and user engagement metrics to uncover trends, popular genres, and developer insights.
A web app to digitize wardrobes, create outfits, and get AI-based fashion suggestions — built with Node.js, MongoDB, and EJS to boost engagement and personalization.
Add a description, image, and links to the user-engagement topic page so that developers can more easily learn about it.
To associate your repository with the user-engagement topic, visit your repo's landing page and select "manage topics."