There are 1 repository under user-engagement topic.
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.
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
Methods for identifying and ranking users who alternately behave as contributors and as lurkers over multiple layers of a multilayer social network
Engage users with a Snackbar to e.g. rate or translate the app. Forked from:
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.
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"
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.
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.
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.
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.
As a data analyst collaborating with Instagram's product team, the objective is to delve into user interactions and engagement on the platform. This endeavor aims to extract actionable insights pivotal for enhancing user experience, guiding product development, and informing marketing strategies.
Exploratory Data Analysis Of User Interactions With The LinkedIn Platform Across PCs, Tablets And Mobile Devices
Unofficial implementation for【WWW'17】 EOMM: An Engagement Optimized Matchmaking.
Supplementary material for the paper "Resilience of political leaders and healthcare organizations during COVID-19"
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
Uncover valuable insights into Amazon Prime content and trends through an interactive Tableau dashboard. Delve into a comprehensive analysis of shows, movies, and user engagement data. Utilize interactive visualizations to gain a deeper understanding of the Amazon Prime platform.
Chabok Empty Trusted Web Activity (TWA) Application for Starters
A comprehensive app facilitating gym-goers in tracking workouts and calories, under development using React, Java, Bootstrap, Firebase, and SQL.
Global reactions for the Web.
A Rust crate for calculating Net Promoter Score (NPS) from survey responses.
Analyze WhatsApp chats with Python, Streamlit, and data visualization. Explore messaging patterns, content trends, and emoji usage to uncover insights from your conversations.
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.