Social contextual recommendation
By Meng Jiang, Peng Cui, R. Liu, Qiang Yang, Fei Wang, Wenwu Zhu, Shiqiang Yang. International Conference on Information and Knowledge Management, 2012
317 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Information Systems, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/4005606776a4ff61ca535610b2118238d3d102ff
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
In Information Systems
In Statistical and Nonlinear Physics
Citations in the corpus
- Session-Based Social Recommendation via Dynamic Graph Attention Networks (2019, background): “Modeling the influence of friends on user interests has also received attention [15, 16, 23–25].”
- Leveraging Social Connections to Improve Personalized Ranking for Collaborative Filtering (2014, background): “[7] design a matrix factorization framework which exhibits the contribution of two important factors: individual preference and interpersonal influence.”
- UniWalk: Explainable and Accurate Recommendation for Rating and Network Data (2017, background): “Studies [9, 12, 17, 29] prove that a social network enhances rating prediction.”
- Personalized Recommendation Combining User Interest and Social Circle (2014, unknown): “Note that the method we use to get the topic distribution Di is also different from ContextMF [2].”
- DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation (2020, background): “Therefore, social recommendation has emerged, which focuses on exploiting social relations among users to alleviate data sparsity and enhancing recommendation performance [13], [18], [19], [42].”