Twitter dataset

The 'Twitter dataset' contains user-item feedback data used to evaluate the performance of recommendation algorithms, particularly in the context of recommending items to new users.

Papers using Twitter dataset (8)

CnGAN: Generative Adversarial Networks for Cross-network user preference generation for non-overlapped users2020 · 32 citesExploring the use of Time-Dependent Cross-Network Information for Personalized Recommendations2020 · 10 citesA Machine-Learned Ranking Algorithm for Dynamic and Personalised Car Pooling Services2023 · 7 citesUsing Social Media Background to Improve Cold-start Recommendation Deep Models2021 · 6 citesFairness-Aware Recommendation of Information Curators2018 · 4 citesLSTM Networks for Online Cross-Network Recommendations2020 · 1 citesA Correlation Maximization Approach for Cross Domain Co-Embeddings2018Comparative Analysis of Content-based Personalized Microblog Recommendations [Experiments and Analysis]2019