Purpose

Similarly, Zhu et al. (2014) and Zhang et al. (2014) stated that addressing privacy concerns with the recommendation process is necessary for the healthy development of app recommendation. Recently, Xiao et al. (2020) mentioned that a lack of effective privacy policy hinders the development of personalized recommendation services. According to the reported work, privacy protection technology methods are too limited for mobile focusing on data encryption, anonymity, disturbance, elimination of redundant data to protect the recommendation process from privacy breaches. So, this situation motivated us to conduct a systematic literature review (SLR) to provide the viewpoint of privacy and security concerns as mentioned in current state-of-the-art in the mobile app recommendation domain.

Design/methodology/approach

In this work, the authors have followed Kitchenham guidelines (Kitchenham and Charters, 2007) to devise the SLR process. According to the guidelines, the SLR process has three main phases: (1) define, (2) conduct the search and (3) report the results. Furthermore, the authors used systematic mapping approach as well to ensure the whole process.

Findings

Based on the selected studies, the authors proposed three main thematic taxonomies, including architectural style, security and privacy strategies, and user-usage in the mobile app recommendation domain. From the studies' synthesis viewpoint, it is observed that the majority of the research efforts have focused on the movie recommendation field, while the mainly used privacy scheme is homomorphic encryption. Finally, the authors suggested a set of future research dimensions useful for the potential researchers interested to perform the research in the mobile app recommendation domain.

Originality/value

This is an SLR article, based on existing published research, where the authors identified key issues and future directions.

中文翻译：

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移动应用推荐（MAR）中基于数据使用的隐私和安全问题：系统文献综述

目的

同样，朱等人。（2014）和张等人。(2014) 指出，通过推荐过程解决隐私问题对于应用推荐的健康发展是必要的。最近，肖等人。（2020）提到，缺乏有效的隐私政策阻碍了个性化推荐服务的发展。根据报告的工作，隐私保护技术方法对于移动来说过于有限，专注于数据加密、匿名、干扰、消除冗余数据以保护推荐过程免受隐私泄露。因此，这种情况促使我们进行系统文献综述 (SLR)，以提供移动应用推荐领域当前最新技术中提到的隐私和安全问题的观点。

设计/方法/方法

在这项工作中，作者遵循 Kitchenham 指南（Kitchenham 和 Charters，2007 年）来设计 SLR 流程。根据指南，SLR 过程分为三个主要阶段：（1）定义，（2）进行搜索和（3）报告结果。此外，作者还使用了系统的映射方法来确保整个过程。

发现

基于选定的研究，作者提出了三个主要的主题分类法，包括架构风格、安全和隐私策略以及移动应用推荐领域的用户使用。从研究的综合观点来看，大部分研究工作都集中在电影推荐领域，而主要使用的隐私方案是同态加密。最后，作者提出了一组对有兴趣在移动应用推荐领域进行研究的潜在研究人员有用的未来研究维度。

原创性/价值

这是一篇 SLR 文章，基于现有已发表的研究，作者确定了关键问题和未来方向。