Douban

The Douban dataset contains user-item interactions and social relationships, and it is used to evaluate the effectiveness of recommendation models that incorporate high-order social relations.

Papers using Douban (9)

Modelling High-Order Social Relations for Item Recommendation2020 · 85 citesExploiting Variational Domain-Invariant User Embedding for Partially Overlapped Cross Domain Recommendation2022 · 53 citesGLocal-K: Global and Local Kernels for Recommender Systems2021 · 52 citesCollaborative Filtering with Social Local Models2017 · 38 citesHybrid Collaborative Filtering with Autoencoders2016 · 23 citesPPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation2023 · 22 citesCross-domain novelty seeking trait mining for sequential recommendation2018 · 6 citesCollaborative Filtering with Attribution Alignment for Review-based Non-overlapped Cross Domain Recommendation2022 · 5 citesConquering the rating bound problem in neighborhood-based collaborative filtering: a function recovery approach2012