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CADRE: Cloud-Assisted Drug REcommendation Service for Online Pharmacies

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Abstract

With the development of e-commerce, a growing number of people prefer to purchase medicine online for the sake of convenience. However, it is a serious issue to purchase medicine blindly without necessary medication guidance. In this paper, we propose a novel cloud-assisted drug recommendation (CADRE), which can recommend users with top-N related medicines according to symptoms. In CADRE, we first cluster the drugs into several groups according to the functional description information, and design a basic personalized drug recommendation based on user collaborative filtering. Then, considering the shortcomings of collaborative filtering algorithm, such as computing expensive, cold start, and data sparsity, we propose a cloud-assisted approach for enriching end-user Quality of Experience (QoE) of drug recommendation, by modeling and representing the relationship of the user, symptom and medicine via tensor decomposition. Finally, the proposed approach is evaluated with experimental study based on a real dataset crawled from Internet.

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Acknowledgment

The authors would like to extend their sincere appreciation to the Deanship of Scientific Research at King Saud University for its funding of this research through the Research Group Project no RGP-VPP-258. This work is partially supported by the National Natural Science Foundation of China (Grant No. 61103185 and 61472283), the Fok Ying-Tong Education Foundation, China (Grant No. 142006), the Fundamental Research Funds for the Central Universities (Grant No. 2100219043).

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Authors and Affiliations

  1. Department of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China

    Yin Zhang

  2. School of Software Engineering, Tongji University, Shanghai, China

    Daqiang Zhang

  3. Chair of Pervasive and Mobile Computing, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia

    Mohammad Mehedi Hassan & Atif Alamri

  4. Department of Industrial Engineering, Ajou University, Suwon, South Korea

    Limei Peng

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  1. Yin Zhang
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  2. Daqiang Zhang
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  3. Mohammad Mehedi Hassan
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  4. Atif Alamri
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  5. Limei Peng
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Correspondence to Limei Peng.

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Zhang, Y., Zhang, D., Hassan, M.M. et al. CADRE: Cloud-Assisted Drug REcommendation Service for Online Pharmacies. Mobile Netw Appl 20, 348–355 (2015). https://doi.org/10.1007/s11036-014-0537-4

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  • DOI: https://doi.org/10.1007/s11036-014-0537-4

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