Tackling Data Sparseness in Recommendation using Social Media based Topic Hierarchy Modeling

Zhu, Xingwei; Ming, Zhaoyan; Hao, Yu; Zhu, Xiaoyan

Tackling Data Sparseness in Recommendation using Social Media based Topic Hierarchy Modeling

Xingwei Zhu, Zhaoyan Ming, Yu Hao, Xiaoyan Zhu

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Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence. Main Track. Pages 2415-2422.

Abstract

Recommendation systems play an important role in E-Commerce. However, their potential usefulness in real world applications is greatly limited by the availability of historical rating records from the customers. This paper presents a novel method to tackle the problem of data sparseness in user ratings with rich and timely domain information from social media. We first extract multiple side information for products from their relevant social media contents. Next, we convert the information into weighted topic-item ratings and inject them into an extended latent factor based recommendation model in an optimized approach. Our evaluation on two real world datasets demonstrates the superiority of our method over state-of-the-art methods.

Xingwei Zhu, Zhaoyan Ming, Yu Hao, and Xiaoyan Zhu. 2015. Tackling Data Sparseness in Recommendation using Social Media based Topic Hierarchy Modeling. In Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15. IJCAI, 2415–2422. https://ijcai.org/proceedings/2015/342

@inproceedings{ijcai2015p342,
  title     = {Tackling Data Sparseness in Recommendation using Social Media based Topic Hierarchy Modeling},
  author    = {Zhu, Xingwei and Ming, Zhaoyan and Hao, Yu and Zhu, Xiaoyan},
  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     = {2415--2422},
  year      = {2015},
  month     = {7},
  note      = {Main Track},
  url       = {https://ijcai.org/proceedings/2015/342},
}

TY  - CPAPER
TI  - Tackling Data Sparseness in Recommendation using Social Media based Topic Hierarchy Modeling
AU  - Zhu, Xingwei
AU  - Ming, Zhaoyan
AU  - Hao, Yu
AU  - Zhu, Xiaoyan
T2  - Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15
PB  - International Joint Conferences on Artificial Intelligence
PY  - 2015
SP  - 2415
EP  - 2422
UR  - https://ijcai.org/proceedings/2015/342
ER  -