Bolong Zheng

A Context-Aware User-Item Representation Learning for Item Recommendation

2019 · ACM Transactions on Information Systems

Both reviews and user-item interactions (i.e., rating scores) have been widely adopted for user rating prediction. However, these existing techniques mainly extract the latent representations for users and items in an independent and static manner. …

A Privacy-Preserving Distributed Contextual Federated Online Learning Framework with Big Data Support in Social Recommender Systems

2019 · IEEE Transactions on Knowledge and Data Engineering

Nowadays, the booming demand of big data analytics and the constraints of computational ability and network bandwidth have made it difficult for a stand-alone agent/service provider to provide suitable information for every user from the …