“Guess You Like It” – How personalized recommendation timing and product type influence consumers’ acceptance: An ERP study

产品(数学) 分类 机制(生物学) 过程(计算) 偏爱 认知 推荐系统 计算机科学 感知 心理学 认知需要 知识管理 人工智能 万维网 认识论 操作系统 哲学 经济 神经科学 微观经济学 数学 几何学
作者
Qian Shang,Jialiang Chen,Huijian Fu,Cuicui Wang,Guanxiong Pei,Jia Jin
出处
期刊:Neuroscience Letters [Elsevier BV]
卷期号:807: 137261-137261 被引量:6
标识
DOI:10.1016/j.neulet.2023.137261
摘要

Personalized recommendation has been increasingly used in online shopping environment, and improving the effectiveness of personalized recommendation is an important issue. On the basis of two-stage decision theory and preference inconsistency theory, our study adopted the neuroscientific methodology of event-related potential to investigate the decision-making process and psychological mechanism of consumers for personalized recommendation under different recommendation timings (browsing and decision stages) and recommended product types (similar and related). Behavioral results showed that consumers' acceptance of similar product recommendations was higher than that of related product recommendations during the browsing stage, whereas no difference was observed in consumers' acceptance of the two product types during the decision stage. More importantly, neurophysiology results provided underlying psychological mechanism for exploring consumers' decision-making process for personalized recommendations. Consumers' psychological mechanism of the personalized recommendations might be divided into two processes, the early automatic cognitive process indicated by the N2 component, and the late advanced cognitive process indicated by the P3 component. We suggested that N2 reflects the perceptual mismatch between the recommended products and the target products, and P3 reflects the attention capture during categorization evaluation of the recommended product and the target product. These findings have important theoretical and practical significance for the deeper understanding of consumers' decision-making process and psychological mechanism in personalized recommendation, as well as improving the effectiveness of personalized recommendation.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
茉莉发布了新的文献求助20
刚刚
郁子完成签到 ,获得积分10
刚刚
贾克斯发布了新的文献求助10
刚刚
刚刚
闪闪白柏发布了新的文献求助10
1秒前
爆米花应助欣喜的听枫采纳,获得10
2秒前
量子星尘发布了新的文献求助10
2秒前
2秒前
2秒前
万莎莎完成签到 ,获得积分10
2秒前
3秒前
在水一方应助yeti采纳,获得10
3秒前
dslnfakjnij完成签到 ,获得积分10
4秒前
小橘完成签到 ,获得积分10
4秒前
世界和平发布了新的文献求助10
5秒前
小二郎应助贾克斯采纳,获得10
6秒前
Owen应助gkq采纳,获得10
6秒前
qq发布了新的文献求助10
7秒前
7秒前
张紫茹完成签到,获得积分10
8秒前
风起时发布了新的文献求助10
8秒前
浮游应助joleisalau采纳,获得10
9秒前
9秒前
zhangshan发布了新的文献求助10
10秒前
flysky120完成签到,获得积分10
10秒前
李静怡完成签到,获得积分10
11秒前
juno完成签到,获得积分10
12秒前
12秒前
nifty完成签到,获得积分10
12秒前
ZXB关闭了ZXB文献求助
13秒前
14秒前
小小米发布了新的文献求助10
14秒前
15秒前
无极微光应助白桃味的夏采纳,获得20
15秒前
九千七完成签到,获得积分10
15秒前
16秒前
mumu发布了新的文献求助10
16秒前
完美世界应助Li_Soft采纳,获得10
16秒前
充电宝应助最终幻想采纳,获得10
18秒前
may完成签到,获得积分10
18秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Zeolites: From Fundamentals to Emerging Applications 1500
Architectural Corrosion and Critical Infrastructure 1000
Early Devonian echinoderms from Victoria (Rhombifera, Blastoidea and Ophiocistioidea) 1000
By R. Scott Kretchmar - Practical Philosophy of Sport and Physical Activity - 2nd (second) Edition: 2nd (second) Edition 666
Energy-Size Reduction Relationships In Comminution 500
Principles Of Comminution, I-Size Distribution And Surface Calculations 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 4941339
求助须知:如何正确求助?哪些是违规求助? 4207390
关于积分的说明 13077624
捐赠科研通 3986257
什么是DOI,文献DOI怎么找? 2182529
邀请新用户注册赠送积分活动 1198125
关于科研通互助平台的介绍 1110387