<p>With the development of computer science and internet technology, more digital technologies have been used in service industry. &nbsp;Meanwhile, enterprises are increasingly adopting service business models to offer services as a solution bundle to meet personalized customer needs [1]. With the explosive growth in the types of services, people often get confused with their needs. More companies began adjusting their service target from passiveness to proactiveness to accurately meet users' demands.</p><p>However, few studies focus on smart service recommendation, and many recommendation methods are not suitable for service recommending. And there are also some problems that limit the development of smart service platforms, such as the problem of resource-sharing and the services-demands matching problem. Therefore, it is essential to realize the proactive recommendation of services. We present a smart service recommendation method based on users' portrait and users' ratings. Firstly, we draw the user portrait to predict the users' service preference based on users' labels (including static labels and dynamic labels). At the same time, the users' scores are predicted based on the collaborative filtering method. We then recommend services by combining the users' preference and the users' ratings. The new method improves the effectiveness of recommendation and realize the proactive recommendation of services. It also provides a new approach of smart services for the platforms and enhances competitiveness. After that, we analyze the method itself and the method is also compared with the traditional collaborative filtering method to verify the effectiveness of it. The data we used in our experiment is from a science and technology service platform. Finally, the last section concludes the present research and the possible future work direction is put forward. &nbsp;</p>

Service Recommendation Based on Dynamic User Portrait: An Integrated Approach

Paper Proceedings: https://asmedigitalcollection.asme.org/IDETC-CIE/IDETC-CIE2021/volume/85369

ASME 2021 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC/CIE2021)

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