独创性
广告
情感(语言学)
封面(代数)
明星(博弈论)
面子(社会学概念)
价值(数学)
面部表情
计算机科学
心理学
业务
营销
社会学
人工智能
数学
社会心理学
沟通
工程类
数学分析
机械工程
社会科学
机器学习
创造力
出处
期刊:Journal of Consumer Marketing
[Emerald Publishing Limited]
日期:2022-05-11
卷期号:39 (4): 371-382
被引量:13
标识
DOI:10.1108/jcm-01-2021-4341
摘要
Purpose This research aims to examine whether the facial appearances and expressions of Airbnb host photos influence guest star ratings. Design/methodology/approach This research analyzed the profile photos of over 20,000 Airbnb hosts and the guest star ratings of over 30,000 Airbnb listings in New York City, using machine learning techniques. Findings First, hosts who provided profile photos received higher guest ratings than those who did not provide photos. When facial features of profile photos were recognizable, guest ratings were higher than when they were not recognizable (e.g. faces too small, faces looking backward or faces blocked by some objects). Second, a happy facial expression, blond hair and brown hair positively affected guest ratings, whereas heads tilted back negatively affected guest ratings. Originality/value This research is the first, to the best of the authors’ knowledge, to analyze the facial appearances and expressions of profile photos using machine learning techniques and examine the influence of Airbnb host photos on guest star ratings.
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