Code and Data for paper: Beyond Views: Measuring and Predicting Engagement in Online Videos (ICWSM '18)
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Updated
Feb 14, 2024 - Python
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
Implementation of "Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps"
【WWW'17】A toy reproduction of the paper - EOMM: An Engagement Optimized Matchmaking.
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.
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 users who alternately behave as contributors and as lurkers over multiple layers of a multilayer social network
Methods for identifying and ranking lurkers in an online social network
Unofficial implementation for【WWW'17】 EOMM: An Engagement Optimized Matchmaking.
Research Project done at the university where we collect data from Reddit using environmental sustainability related keywords from relevant subreddits then clean and analyse the data which shows reddit user's opinions of companies taking measures to achieve environmental sustainability. We use NLP techniques like sentiment and emotion analysis.
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