How to Find Appropriate Automobile Exhibition Halls: Towards a Personalized Recommendation Service for Auto Show

Danhuai Guo; Yingqiu Zhu; Wei Xu; Yong Ge; Yuanchun Zhou; Jianhui Li

doi:10.1109/ICDMW.2015.171

How to Find Appropriate Automobile Exhibition Halls: Towards a Personalized Recommendation Service for Auto Show

Danhuai Guo, Yingqiu Zhu, Wei Xu, Yong Ge, Yuanchun Zhou, Jianhui Li

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

This paper proposes a novel recommendation service to help visitors to find their proper automobile exhibition halls for auto show. In the proposed method, both temporal and spatial features of visitors are first considered to construct their profiling, and then extract their interests based on visitors' clustering. Finally, highly desired exhibition halls are personalized recommended to proper visitor. The proposed recommender system consists of three modules including relevance module, quality module and integration module. The relevance module is developed to measure the relationship of an automobile exhibition and a visitor, while the quality module is constructed to analyze the quality of each automobile exhibition. The integration module is to combine two modules above for appropriate automobile exhibition. The proposed approach is well validated using a real world dataset, and compared with several baseline models. Our experimental results indicate that in terms of the well-known evaluation metrics, the proposed method can achieves more useful and feasible recommendation results, and our finding highlights that the proposed method can help both visitors to find a more appropriate automobile exhibition halls, and manage officers to reduce more management cost.

Original language	English (US)
Title of host publication	Proceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015
Editors	Xindong Wu, Alexander Tuzhilin, Hui Xiong, Jennifer G. Dy, Charu Aggarwal, Zhi-Hua Zhou, Peng Cui
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1025-1030
Number of pages	6
ISBN (Electronic)	9781467384926
DOIs	https://doi.org/10.1109/ICDMW.2015.171
State	Published - Jan 29 2016
Externally published	Yes
Event	15th IEEE International Conference on Data Mining Workshop, ICDMW 2015 - Atlantic City, United States Duration: Nov 14 2015 → Nov 17 2015

Publication series

Name	Proceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015

Other

Other	15th IEEE International Conference on Data Mining Workshop, ICDMW 2015
Country/Territory	United States
City	Atlantic City
Period	11/14/15 → 11/17/15

Keywords

Auto show
automobile exhibition halls
profiling
recommendation

ASJC Scopus subject areas

Electrical and Electronic Engineering
Computer Science Applications

Access to Document

10.1109/ICDMW.2015.171

Cite this

Guo, D., Zhu, Y., Xu, W., Ge, Y., Zhou, Y., & Li, J. (2016). How to Find Appropriate Automobile Exhibition Halls: Towards a Personalized Recommendation Service for Auto Show. In X. Wu, A. Tuzhilin, H. Xiong, J. G. Dy, C. Aggarwal, Z.-H. Zhou, & P. Cui (Eds.), Proceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015 (pp. 1025-1030). Article 7395780 (Proceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICDMW.2015.171

How to Find Appropriate Automobile Exhibition Halls: Towards a Personalized Recommendation Service for Auto Show. / Guo, Danhuai; Zhu, Yingqiu; Xu, Wei et al.
Proceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015. ed. / Xindong Wu; Alexander Tuzhilin; Hui Xiong; Jennifer G. Dy; Charu Aggarwal; Zhi-Hua Zhou; Peng Cui. Institute of Electrical and Electronics Engineers Inc., 2016. p. 1025-1030 7395780 (Proceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Guo, D, Zhu, Y, Xu, W, Ge, Y, Zhou, Y & Li, J 2016, How to Find Appropriate Automobile Exhibition Halls: Towards a Personalized Recommendation Service for Auto Show. in X Wu, A Tuzhilin, H Xiong, JG Dy, C Aggarwal, Z-H Zhou & P Cui (eds), Proceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015., 7395780, Proceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015, Institute of Electrical and Electronics Engineers Inc., pp. 1025-1030, 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015, Atlantic City, United States, 11/14/15. https://doi.org/10.1109/ICDMW.2015.171

Guo D, Zhu Y, Xu W, Ge Y, Zhou Y, Li J. How to Find Appropriate Automobile Exhibition Halls: Towards a Personalized Recommendation Service for Auto Show. In Wu X, Tuzhilin A, Xiong H, Dy JG, Aggarwal C, Zhou ZH, Cui P, editors, Proceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015. Institute of Electrical and Electronics Engineers Inc. 2016. p. 1025-1030. 7395780. (Proceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015). doi: 10.1109/ICDMW.2015.171

Guo, Danhuai ; Zhu, Yingqiu ; Xu, Wei et al. / How to Find Appropriate Automobile Exhibition Halls : Towards a Personalized Recommendation Service for Auto Show. Proceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015. editor / Xindong Wu ; Alexander Tuzhilin ; Hui Xiong ; Jennifer G. Dy ; Charu Aggarwal ; Zhi-Hua Zhou ; Peng Cui. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 1025-1030 (Proceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015).

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title = "How to Find Appropriate Automobile Exhibition Halls: Towards a Personalized Recommendation Service for Auto Show",

abstract = "This paper proposes a novel recommendation service to help visitors to find their proper automobile exhibition halls for auto show. In the proposed method, both temporal and spatial features of visitors are first considered to construct their profiling, and then extract their interests based on visitors' clustering. Finally, highly desired exhibition halls are personalized recommended to proper visitor. The proposed recommender system consists of three modules including relevance module, quality module and integration module. The relevance module is developed to measure the relationship of an automobile exhibition and a visitor, while the quality module is constructed to analyze the quality of each automobile exhibition. The integration module is to combine two modules above for appropriate automobile exhibition. The proposed approach is well validated using a real world dataset, and compared with several baseline models. Our experimental results indicate that in terms of the well-known evaluation metrics, the proposed method can achieves more useful and feasible recommendation results, and our finding highlights that the proposed method can help both visitors to find a more appropriate automobile exhibition halls, and manage officers to reduce more management cost.",

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N2 - This paper proposes a novel recommendation service to help visitors to find their proper automobile exhibition halls for auto show. In the proposed method, both temporal and spatial features of visitors are first considered to construct their profiling, and then extract their interests based on visitors' clustering. Finally, highly desired exhibition halls are personalized recommended to proper visitor. The proposed recommender system consists of three modules including relevance module, quality module and integration module. The relevance module is developed to measure the relationship of an automobile exhibition and a visitor, while the quality module is constructed to analyze the quality of each automobile exhibition. The integration module is to combine two modules above for appropriate automobile exhibition. The proposed approach is well validated using a real world dataset, and compared with several baseline models. Our experimental results indicate that in terms of the well-known evaluation metrics, the proposed method can achieves more useful and feasible recommendation results, and our finding highlights that the proposed method can help both visitors to find a more appropriate automobile exhibition halls, and manage officers to reduce more management cost.

AB - This paper proposes a novel recommendation service to help visitors to find their proper automobile exhibition halls for auto show. In the proposed method, both temporal and spatial features of visitors are first considered to construct their profiling, and then extract their interests based on visitors' clustering. Finally, highly desired exhibition halls are personalized recommended to proper visitor. The proposed recommender system consists of three modules including relevance module, quality module and integration module. The relevance module is developed to measure the relationship of an automobile exhibition and a visitor, while the quality module is constructed to analyze the quality of each automobile exhibition. The integration module is to combine two modules above for appropriate automobile exhibition. The proposed approach is well validated using a real world dataset, and compared with several baseline models. Our experimental results indicate that in terms of the well-known evaluation metrics, the proposed method can achieves more useful and feasible recommendation results, and our finding highlights that the proposed method can help both visitors to find a more appropriate automobile exhibition halls, and manage officers to reduce more management cost.

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How to Find Appropriate Automobile Exhibition Halls: Towards a Personalized Recommendation Service for Auto Show

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Keywords

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