Code and Data for paper: Beyond Views: Measuring and Predicting Engagement in Online Videos (ICWSM '18)

Personalized Training for the Sequence Learning task with the NAO robot and the MUSE EEG sensor

【KDD'20】OptMatch: Optimized Matchmaking via Modeling the High-Order Interactions on the Arena

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"

Build a Progressive Web App (PWA) that feels like an iOS & Android App, using Device Camera, Push Notifications and more

【WWW'17】A toy reproduction of the paper - EOMM: An Engagement Optimized Matchmaking.

Dialogos: Pioneering Interactive Narratives and Language Proficiency with Enhanced AI in Unity

engagement metrics - Javascript SDK

engagement metrics - Rails backend

Recipe Site Traffic Prediction: Utilising machine learning to forecast high traffic recipes on a recipe website. Improve user engagement and traffic with data-driven decisions.

Engage users with a Snackbar to e.g. rate or translate the app. Forked from:

Methods for identifying and ranking users who alternately behave as contributors and as lurkers over multiple layers of a multilayer social network

Analyze WhatsApp chats with Python, Streamlit, and data visualization. Explore messaging patterns, content trends, and emoji usage to uncover insights from your conversations.

Methods for identifying and ranking lurkers in an online social network

VulnChamp is a performance-driven platform that ranks and rewards team members based on the vulnerabilities they discover. It features leaderboards, detailed vulnerability statistics, progress tracking, and gamification elements to encourage healthy competition and recognize outstanding contributions in cybersecurity.

Supplementary material for the paper "Synergy Between Public and Private Health Care Organizations During COVID-19 on Twitter: Sentiment and Engagement Analysis Using Forecasting Models"

This repository analyzes Instagram user engagement using SQL queries to extract insights into user behavior, marketing effectiveness, and platform trends, aiming to optimize strategies, improve retention, and ensure platform integrity.

Develop a system that personalizes music recommendations for users and analyzes their engagement and retention.

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.