engagement metrics - Javascript SDK
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Updated
Apr 9, 2017 - JavaScript
engagement metrics - Javascript SDK
Personalized Training for the Sequence Learning task with the NAO robot and the MUSE EEG sensor
Methods for identifying and ranking users who alternately behave as contributors and as lurkers over multiple layers of a multilayer social network
Implementation of "Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps"
Chabok Empty Trusted Web Activity (TWA) Application for Starters
【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.
Exploratory Data Analysis Of User Interactions With The LinkedIn Platform Across PCs, Tablets And Mobile Devices
Methods for identifying and ranking lurkers in an online social network
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"
A multi-view user engagement recognition prototype classifying engagement levels of 4. Developed Convolution Neural Network extending VGG-16 with effective weights on DAiSEE dataset with an accuracy of 87%. Enhanced stability with micro and macro expressions of users from an unstructured e-learning environment.
Engage users with a Snackbar to e.g. rate or translate the app. Forked from:
Supplementary material for the paper "Resilience of political leaders and healthcare organizations during COVID-19"
A Rust crate for calculating Net Promoter Score (NPS) from survey responses.
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.
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.
Derived business insights for marketing, product & development teams which can be used by teams across the business to launch a new marketing campaign, decide on features to build for an app, track the success of the app by measuring user engagement and improve the experience altogether while helping the business grow.
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.
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.
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