T. D. Kavu, Kudakwashe Dube, P. Raeth, G. Hapanyengwi
{"title":"A Characterisation and Framework for User-Centric Factors in Evaluation Methods for Recommender Systems","authors":"T. D. Kavu, Kudakwashe Dube, P. Raeth, G. Hapanyengwi","doi":"10.4018/IJICTRAME.2017010101","DOIUrl":null,"url":null,"abstract":"Researchers have worked on-finding e-commerce recommender systems evaluation methods that contribute to an optimal solution. However, existing evaluations methods lack the assessment of user-centric factors such as buying decisions, user experience and user interactions resulting in less than optimum recommender systems. This paper investigates the problem of adequacy of recommender systems evaluation methods in relation to user-centric factors. Published work has revealed limitations of existing evaluation methods in terms of evaluating user satisfaction. This paper characterizes user-centric evaluation factors and then propose a user-centric evaluation conceptual framework to identify and expose a gap within literature. The researchers used an integrative review approach to formulate both the characterization and the conceptual framework for investigation. The results reveal a need to come up with a holistic evaluation framework that combines system-centric and user-centric evaluation methods as well as formulating computational user-centric evaluation methods. The conclusion reached is that, evaluation methods for e-commerce recommender systems lack full assessment of vital factors such as: user interaction, user experience and purchase decisions. A full consideration of these factors during evaluation will give birth to new types of recommender systems that predict user preferences using user decision-making process profiles, and that will enhance user experience and increase revenue in the long run. KEywoRdS Accuracy, Buying Decision, E-Commerce, Recommender Systems (RS), System-Centric, User Retention, User Satisfaction, User Trust, User-Centric A Characterisation and Framework for User-Centric Factors in Evaluation Methods for Recommender Systems Tatenda D. Kavu, University of Zimbabwe, Harare, Zimbabwe Kuda Dube, Massey University, Auckland, New Zealand Peter G. Raeth, University of Zimbabwe, Harare, Zimbabwe Gilford T. Hapanyengwi, University of Zimbabwe, Harare, Zimbabwe","PeriodicalId":418993,"journal":{"name":"Int. J. ICT Res. Afr. Middle East","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. ICT Res. Afr. Middle East","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/IJICTRAME.2017010101","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
Researchers have worked on-finding e-commerce recommender systems evaluation methods that contribute to an optimal solution. However, existing evaluations methods lack the assessment of user-centric factors such as buying decisions, user experience and user interactions resulting in less than optimum recommender systems. This paper investigates the problem of adequacy of recommender systems evaluation methods in relation to user-centric factors. Published work has revealed limitations of existing evaluation methods in terms of evaluating user satisfaction. This paper characterizes user-centric evaluation factors and then propose a user-centric evaluation conceptual framework to identify and expose a gap within literature. The researchers used an integrative review approach to formulate both the characterization and the conceptual framework for investigation. The results reveal a need to come up with a holistic evaluation framework that combines system-centric and user-centric evaluation methods as well as formulating computational user-centric evaluation methods. The conclusion reached is that, evaluation methods for e-commerce recommender systems lack full assessment of vital factors such as: user interaction, user experience and purchase decisions. A full consideration of these factors during evaluation will give birth to new types of recommender systems that predict user preferences using user decision-making process profiles, and that will enhance user experience and increase revenue in the long run. KEywoRdS Accuracy, Buying Decision, E-Commerce, Recommender Systems (RS), System-Centric, User Retention, User Satisfaction, User Trust, User-Centric A Characterisation and Framework for User-Centric Factors in Evaluation Methods for Recommender Systems Tatenda D. Kavu, University of Zimbabwe, Harare, Zimbabwe Kuda Dube, Massey University, Auckland, New Zealand Peter G. Raeth, University of Zimbabwe, Harare, Zimbabwe Gilford T. Hapanyengwi, University of Zimbabwe, Harare, Zimbabwe
研究人员一直致力于寻找电子商务推荐系统的评估方法,以实现最优解决方案。然而,现有的评估方法缺乏对以用户为中心的因素的评估,如购买决策、用户体验和用户交互,导致推荐系统不太理想。本文研究了以用户为中心因素的推荐系统评价方法的充分性问题。已发表的研究揭示了现有评价方法在评价用户满意度方面的局限性。本文对以用户为中心的评价因素进行了表征,并提出了以用户为中心的评价概念框架,以识别和揭示文献中的空白。研究人员使用了一种综合评价方法来制定研究的特征和概念框架。结果表明,需要提出一个整体的评估框架,结合以系统为中心和以用户为中心的评估方法,并制定以计算用户为中心的评估方法。得出的结论是,电子商务推荐系统的评价方法缺乏对用户交互、用户体验和购买决策等关键因素的充分评估。在评估过程中充分考虑这些因素将催生新型的推荐系统,这些推荐系统利用用户决策过程档案来预测用户偏好,从长远来看,这将增强用户体验并增加收入。关键词准确性,购买决策,电子商务,推荐系统(RS),系统中心,用户留存,用户满意度,用户信任,用户中心推荐系统评价方法中用户中心因素的特征和框架Tatenda D. Kavu,津巴布韦大学,哈拉雷,津巴布韦Kuda Dube,梅西大学,奥克兰,新西兰Peter G. Raeth,津巴布韦大学,哈拉雷,津巴布韦Gilford T. haanyengwi,津巴布韦大学,哈拉雷,津巴布韦