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"

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

【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

Exploratory Data Analysis Of User Interactions With The LinkedIn Platform Across PCs, Tablets And Mobile Devices

engagement metrics - Rails backend

engagement metrics - Javascript SDK

Unofficial implementation for【WWW'17】 EOMM: An Engagement Optimized Matchmaking.

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.

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

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

Methods for identifying and ranking lurkers in an online social network

An integration between Arcadier marketplaces and Appcues that helps boost engagement with buyers. A combination of APIs and client-side JS was used to make this possible

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

Global reactions for the Web.