Title: Resource-constrained O2O service recommended strategy research

Authors: Shuai Huangfu; Xiao Xue; Junfeng Wang

Addresses: School of Computer Sciences and Technology, Henan Polytechnic University, 454000 Jiaozuo, China ' School of Computer Sciences and Technology, Henan Polytechnic University, 454000 Jiaozuo, China ' School of Physics and Electronic Information, Henan Polytechnic University, 454000 Jiaozuo, China

Abstract: With the development of internet, the problem of information overload is becoming more and more serious. Recommendation technology can screen out information that is useful to people. Therefore, many scholars pay attention to it. There are two types of internet services: online and offline. At present, recommendation technology has become more and more mature in purely online applications, including news recommendation and commodity recommendation. However, O2O service recommendation needs the support of offline resources. Owing to the constraints of limited resources, many users adopt recommendation result at the same time, which often leads to crowded service points, useless recommendations and poor user experience. How to improve the effectiveness of O2O service recommendation under condition of resource constraints is a crucial issue. This paper proposes a group of O2O service recommendation strategies from the prospect of supply and demand matching to solve the problem step by step. Furthermore, we utilise computational experiment to perform performance comparison analysis for these service strategies. The results show that the adaptive adjustment mechanism based on current supply and demand conditions is conductive to improving effectiveness of O2O service recommendation so as to increase profit of the merchant and improve user experience.

Keywords: online to offline; O2O; collaborative filtering; resources constrained; service recommendation strategy; computational experiment.

DOI: 10.1504/IJSTM.2020.106746

International Journal of Services Technology and Management, 2020 Vol.26 No.2/3, pp.202 - 214

Received: 18 Jul 2018
Accepted: 26 Mar 2019
Published online: 20 Apr 2020 *

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