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

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.

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

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

engagement metrics - Javascript SDK

【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

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

engagement metrics - Rails backend

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

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.

This GitHub repository contains the CliqueBait Digital Marketing Analysis project, utilizing SQL for comprehensive analysis of marketing campaigns, user engagement, product performance, and website interactions within the Clique Bait food app. The project offers actionable insights for optimizing marketing strategies in competitive landscape.

Methods for identifying and ranking lurkers in an online social network

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.

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"

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

Global reactions for the Web.

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