个性化推荐系统用户接受意愿和采纳行为影响因素研究

Research on the Influence Factors of User's Accept Willingness and Adoption Behavior in Personalized Recommendation Systems

利用网络问卷平台及微信等社交媒体开展了问卷调查,并采用IBM SPSS 22.0软件进行了统计分析,运用统计描述、回归分析等统计学方法进行了数据分析,结果显示,推荐系统的推荐时机和用户的绩效期望能显著影响用户对推荐信息的接受意愿和采纳行为,用户的隐私意识也能显著影响用户对推荐信息的接受意愿,最后从系统角度和用户角度两方面提出了个性化推荐服务的发展策略。

This paper uses the network platform of questionnaire and WeChat social media to carry out the questionnaire, uses the IBM SPSS 22.0 software to carry out the statistical analysis, and uses statistic description, regression analysis and other statistical methods to carry out the data analysis, the results show that the recommended time of recommendation system and user＇ s performance expectation can significantly affect the accept willingness and adoption behavior, user privacy consciousness can significantly influence users＇ accept willingness of recommend information, finally, proposes a personalized recommendation service development strategy from two aspects of system angle and user angle.