Collaborative Evolution for User Profiling in Recommender Systems

Lu, Zhongqi; Pan, Sinno Jialin; Li, Yong; Jiang, Jie; Yang, Qiang

Collaborative Evolution for User Profiling in Recommender Systems

Zhongqi Lu, Sinno Jialin Pan, Yong Li, Jie Jiang, Qiang Yang

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Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence. Pages 3804-3809.

Abstract

Accurate user profiling is important for an online recommender system to provide proper personalized recommendations to its users. In many real-world scenarios, the user's interests towards the items may change over time. Therefore, a dynamic and evolutionary user profile is needed. In this work, we come up with a novel evolutionary view of user's profile by proposing a Collaborative Evolution (CE) model, which learns the evolution of user's profiles through the sparse historical data in recommender systems and outputs the prospective user profile of the future. To verify the effectiveness of the proposed model, we conduct experiments on a real-world dataset, which is obtained from the online shopping website of Tencent — www.51buy.com and contains more than 1 million users' shopping records in a time span of more than 180 days. Experimental analyses demonstrate that our proposed CE model can be used to make better future recommendations compared to several state-of-the-art methods.

Zhongqi Lu, Sinno Jialin Pan, Yong Li, Jie Jiang, and Qiang Yang. 2016. Collaborative Evolution for User Profiling in Recommender Systems. In Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-16. IJCAI, 3804–3809. https://ijcai.org/proceedings/2016/535

@inproceedings{ijcai2016p535,
  title     = {Collaborative Evolution for User Profiling in Recommender Systems},
  author    = {Lu, Zhongqi and Pan, Sinno Jialin and Li, Yong and Jiang, Jie and Yang, Qiang},
  booktitle = {Proceedings of the Twenty-Fifth International Joint Conference on
               Artificial Intelligence, {IJCAI-16}},
  publisher = {AAAI Press / International Joint Conferences on Artificial Intelligence},
  editor    = {Subbarao Kambhampati},
  pages     = {3804--3809},
  year      = {2016},
  month     = {7},
  url       = {https://ijcai.org/proceedings/2016/535},
}

TY  - CPAPER
TI  - Collaborative Evolution for User Profiling in Recommender Systems
AU  - Lu, Zhongqi
AU  - Pan, Sinno Jialin
AU  - Li, Yong
AU  - Jiang, Jie
AU  - Yang, Qiang
T2  - Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-16
PB  - AAAI Press / International Joint Conferences on Artificial Intelligence
PY  - 2016
SP  - 3804
EP  - 3809
UR  - https://ijcai.org/proceedings/2016/535
ER  -