推荐系统
个性化
计算机科学
多样性(控制论)
产品(数学)
背景(考古学)
新颖性
信息隐私
相关性(法律)
情报检索
万维网
互联网隐私
人工智能
心理学
数学
古生物学
社会心理学
几何学
生物
政治学
法学
作者
Yedi Wang,Jian‐Kang Zhu,Renhuai Liu,Yushi Jiang
标识
DOI:10.1016/j.ijinfomgt.2024.102755
摘要
The concept of recommendation acceptance intention (RAI) refers to the willingness of an individual to adopt and use recommender systems. However, contemporary recommender systems, relying solely on accuracy as an evaluation metric have demonstrated subpar performance. The evolving landscape requires the integration of multiple objectives, including relevance, diversity, novelty, and coverage. This study investigates the influence of distinct product organization formats (similar vs. related products) on consumer reactions, aiming to reduce privacy concerns while achieving objectives such as relevance and variety. Grounded in the privacy calculus theory and personalization–privacy paradox framework, this study asserts that organization formats prompt consumers to evaluate a recommender system, considering both privacy risks and personalization benefits. Findings from three experiments and one qualitative study indicate that a related product organization format effectively decreases consumer perceptions of privacy violation while enhancing their perceptions of variety compared to a similar product organization format. This result contributes to RAI and shapes consumer preferences for recommender systems. Moreover, this research distinguishes the mechanisms underlying the influence of organization formats on RAI in the context of different product types, such as durable goods and consumables. This distinction enhances implications for designing recommender systems in e-commerce.
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