Post #327

Twitter Recsys 2020 Challenge In a new post Michael Bronstein describes top-3 solutions of the recent Twitter RecSys challenge, with the goal of predicting user engagements (like, retweets, etc.) for the future tweets of the users. As expected, top places were using gradient boosting over neural networks, although some used BERT and other language models to build representations of the tweet. It would be interesting to see if we can use the fact that Twitter is a graph for better predictions of the models.