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Open AccessArticle

A Hybrid Two-Phase Recommendation for Group-Buying E-commerce Applications

by Li Bai 1, Mi Hu 2, Yunlong Ma 2 and Min Liu 2,*
School of Accounting, Shanghai Lixin University of Accounting and Finance, Shanghai 201602, China
College of Electrical Information and Engineering, Tongji University, Shanghai 201804, China
Author to whom correspondence should be addressed.
Appl. Sci. 2019, 9(15), 3141;
Received: 27 June 2019 / Revised: 19 July 2019 / Accepted: 31 July 2019 / Published: 2 August 2019
The last two decades have witnessed an explosive growth of e-commerce applications. Existing online recommendation systems for e-commerce applications, particularly group-buying applications, suffer from scalability and data sparsity problems when confronted with exponentially increasing large-scale data. This leads to a poor recommendation effect of traditional collaborative filtering (CF) methods in group-buying applications. In order to address this challenge, this paper proposes a hybrid two-phase recommendation (HTPR) method which consists of offline preparation and online recommendation, combining clustering and collaborative filtering techniques. The user-item category tendency matrix is constructed after clustering items, and then users are clustered to facilitate personalized recommendation where items are generated by collaborative filtering technology. In addition, a parallelized strategy was developed to optimize the recommendation process. Extensive experiments on a real-world dataset were conducted by comparing HTPR with other three recommendation methods: traditional CF, user-clustering based CF, and item-clustering based CF. The experimental results show that the proposed HTPR method is effective and can improve the accuracy of online recommendation systems for group-buying applications. View Full-Text
Keywords: e-commerce; group-buying; online recommendation; clustering; collaborative filtering e-commerce; group-buying; online recommendation; clustering; collaborative filtering
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Bai, L.; Hu, M.; Ma, Y.; Liu, M. A Hybrid Two-Phase Recommendation for Group-Buying E-commerce Applications. Appl. Sci. 2019, 9, 3141.

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