Interest Inference via Structure-Constrained Multi-Source Multi-Task Learning

Song, Xuemeng; Nie, Liqiang; Zhang, Luming; Liu, Maofu; Chua, Tat-Seng

Interest Inference via Structure-Constrained Multi-Source Multi-Task Learning

Xuemeng Song, Liqiang Nie, Luming Zhang, Maofu Liu, Tat-Seng Chua

Download BibTeX Cite

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence. Main Track. Pages 2371-2376.

Abstract

User interest inference from social networks is a fundamental problem to many applications. It usually exhibits dual-heterogeneities: a user's interests are complementarily and comprehensively reflected by multiple social networks; interests are inter-correlated in a nonuniform way rather than independent to each other. Although great success has been achieved by previous approaches, few of them consider these dual-heterogeneities simultaneously. In this work, we propose a structure-constrained multi-source multi-task learning scheme to co-regularize the source consistency and the tree-guided task relatedness. Meanwhile, it is able to jointly learn the task-sharing and task-specific features. Comprehensive experiments on a real-world dataset validated our scheme. In addition, we have released our dataset to facilitate the research communities.

Xuemeng Song, Liqiang Nie, Luming Zhang, Maofu Liu, and Tat-Seng Chua. 2015. Interest Inference via Structure-Constrained Multi-Source Multi-Task Learning. In Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15. IJCAI, 2371–2376. https://ijcai.org/proceedings/2015/335

@inproceedings{ijcai2015p335,
  title     = {Interest Inference via Structure-Constrained Multi-Source Multi-Task Learning},
  author    = {Song, Xuemeng and Nie, Liqiang and Zhang, Luming and Liu, Maofu and Chua, Tat-Seng},
  booktitle = {Proceedings of the Twenty-Fourth International Joint Conference on
               Artificial Intelligence, {IJCAI-15}},
  publisher = {International Joint Conferences on Artificial Intelligence},
  editor    = {Qiang Yang and Michael Wooldridge},
  pages     = {2371--2376},
  year      = {2015},
  month     = {7},
  note      = {Main Track},
  url       = {https://ijcai.org/proceedings/2015/335},
}

TY  - CPAPER
TI  - Interest Inference via Structure-Constrained Multi-Source Multi-Task Learning
AU  - Song, Xuemeng
AU  - Nie, Liqiang
AU  - Zhang, Luming
AU  - Liu, Maofu
AU  - Chua, Tat-Seng
T2  - Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15
PB  - International Joint Conferences on Artificial Intelligence
PY  - 2015
SP  - 2371
EP  - 2376
UR  - https://ijcai.org/proceedings/2015/335
ER  -