Research on Cloud Service Provider Recommendation Model based on User Preference

Tanya Street, Jugal Simelane
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Abstract

Based on the rise and wide application of cloud services, this paper proposes and implements a cloud service provider recommendation model based on user needs and preferences. The model consists of three parts. First, based on the needs of users, determine the subjective dimensions of users' demand for cloud services, and realize the measurement of user preferences. Secondly, according to the service capability of the cloud service provider, the ability of the cloud service provider to meet the needs of users is measured. From the perspective of cloud service providers, after determining the indicators that can reflect the service capabilities of cloud service providers, innovatively establish a bridge between service capabilities and user needs. Realize the evaluation of cloud service providers from the perspective of demand realization, that is, to measure their demand satisfaction ability. Finally, according to the recommendation rules in this article, the similarity distance between the user and the candidate cloud service provider based on requirements is compared, and the cloud service provider that matches the user's corresponding needs and preferences is recommended to the user, and personalized decision-making recommendation for the cloud service provider is realized. The recommendation system proposed and implemented in this paper is no longer limited to the evaluation of cloud service providers, but in the recommendation process, it combines the needs and preferences of cloud service users and specific cloud service field characteristics and other information and combines fuzzy evaluation methods. And similar distance and other theories, to give users more satisfactory recommendations, and make personalized recommendations for users.
基于用户偏好的云服务提供商推荐模型研究
基于云服务的兴起和广泛应用,本文提出并实现了一种基于用户需求和偏好的云服务商推荐模型。该模型由三部分组成。首先,从用户需求出发,确定用户对云服务需求的主观维度,实现对用户偏好的测量。其次,根据云服务提供商的服务能力,衡量云服务提供商满足用户需求的能力。从云服务商的角度出发,在确定能够反映云服务商服务能力的指标后,创新性地在服务能力与用户需求之间架起一座桥梁。从需求实现的角度实现对云服务提供商的评价,即衡量其需求满足能力。最后,根据本文的推荐规则,比较用户与基于需求的候选云服务提供商之间的相似距离,向用户推荐符合用户相应需求和偏好的云服务提供商,实现对云服务提供商的个性化决策推荐。本文提出并实现的推荐系统不再局限于对云服务提供商的评价,而是在推荐过程中,结合云服务用户的需求和偏好以及具体的云服务领域特征等信息,结合模糊评价方法。与类似距离等理论,给予用户更满意的推荐,并为用户做出个性化推荐。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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