Find users who have accounts on both Twitter and Facebook, and identify cross-posts which mean two posts are actually containing the same information.
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Updated
Mar 4, 2019 - Python
Find users who have accounts on both Twitter and Facebook, and identify cross-posts which mean two posts are actually containing the same information.
Framework that can be applied on top of any existing popularity estimation method to improve its accuracy.
including SH model, ML model, MRBF model, Altiman Model...
Sequential prediction learning framework and algorithm
Song Popularity Predictor
An implementation for our paper: Time sensitivity-based popularity prediction for online promotion on Twitter (Information Sciences, 2020). This is an extended Latent Factor Model that can predict popularity values of tweets on Twitter when they are published at various times. The data includes Twitter user profiles and tweet information (tweetI…
Code for "Did You “Read” the Next Episode? Using Textual Cues for Predicting Podcast Popularity" accepted at NLP4MusA Workshop at ISMIR 2020
Predicting the number of views (i.e. popularity) of videos without time series data
PREP: Pre-training with Temporal Elapse Inference for Popularity Prediction
TKDE 2022. CCCL: Contrastive Cascade Graph Learning.
TKDE 2021. CasFlow: Exploring Hierarchical Structures and Propagation Uncertainty for Cascade Prediction.
The pytorch code of the paper "Intrinsic Image Popularity Assessment"
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