H
Hao Ma
Researcher at Facebook
Publications - 76
Citations - 12611
Hao Ma is an academic researcher from Facebook. The author has contributed to research in topics: Recommender system & Web search query. The author has an hindex of 37, co-authored 71 publications receiving 10090 citations. Previous affiliations of Hao Ma include Central South University & Microsoft.
Papers
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Proceedings ArticleDOI
Recommender systems with social regularization
TL;DR: This paper proposes a matrix factorization framework with social regularization, which can be easily extended to incorporate other contextual information, like social tags, etc, and demonstrates that the approaches outperform other state-of-the-art methods.
Proceedings ArticleDOI
SoRec: social recommendation using probabilistic matrix factorization
TL;DR: A factor analysis approach based on probabilistic matrix factorization to solve the data sparsity and poor prediction accuracy problems by employing both users' social network information and rating records is proposed.
Proceedings ArticleDOI
Learning to recommend with social trust ensemble
Hao Ma,Irwin King,Michael R. Lyu +2 more
TL;DR: This work proposes a novel probabilistic factor analysis framework, which naturally fuses the users' tastes and their trusted friends' favors together and coin the term Social Trust Ensemble to represent the formulation of the social trust restrictions on the recommender systems.
Proceedings ArticleDOI
An Overview of Microsoft Academic Service (MAS) and Applications
TL;DR: A knowledge driven, highly interactive dialog that seamlessly combines reactive search and proactive suggestion experience, and a proactive heterogeneous entity recommendation are demonstrated.
Posted Content
Linformer: Self-Attention with Linear Complexity
TL;DR: This paper demonstrates that the self-attention mechanism of the Transformer can be approximated by a low-rank matrix, and proposes a new self-Attention mechanism, which reduces the overall self-ATTention complexity from $O(n^2)$ to $O (n)$ in both time and space.