Why Do People Buy Seemingly Irrelevant Items in Voice Product Search?

被引:21
作者
Carmel, David [1 ]
Haramaty, Elad [1 ]
Lazerson, Arnon [1 ]
Lewin-Eytan, Liane [1 ]
Maarek, Yoelle [1 ]
机构
[1] Amazon, Haifa, Israel
来源
PROCEEDINGS OF THE 13TH INTERNATIONAL CONFERENCE ON WEB SEARCH AND DATA MINING (WSDM '20) | 2020年
关键词
product search; customer engagement; objective relevance judgment;
D O I
10.1145/3336191.3371780
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
One emerging benefit of voice assistants is to facilitate product search experience, allowing users to express orally which products they seek, and taking actions on retrieved results such as adding them to their cart or sending the product details to their mobile phone for further examination. Looking at users' behavior in product search, supported by a digital voice assistant, we have observed an interesting phenomenon where users purchase or engage with search results that are objectively judged irrelevant to their queries. In this work, we analyze and characterize this phenomenon. We provide several hypotheses as to the reasons behind it, including users' personalized preferences, the product's popularity, the product's indirect relation with the query, the user's tolerance level, the query intent, and the product price. We address each hypothesis by conducting thorough data analyses and offer some insights with respect to users' purchase and engagement behavior with seemingly irrelevant results. We conclude with a discussion on how this analysis can be used to improve voice product search services.
引用
收藏
页码:79 / 87
页数:9
相关论文
共 22 条
[1]   Learning a Hierarchical Embedding Model for Personalized Product Search [J].
Ai, Qingyao ;
Zhang, Yongfeng ;
Bi, Keping ;
Chen, Xu ;
Croft, W. Bruce .
SIGIR'17: PROCEEDINGS OF THE 40TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL, 2017, :645-654
[2]   Relevance Criteria for E-Commerce: A Crowdsourcing-based Experimental Analysis [J].
Alonso, Omar ;
Mizzaro, Stefano .
PROCEEDINGS 32ND ANNUAL INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL, 2009, :760-761
[3]  
[Anonymous], 2005, TREC EXPT EVALUATION
[4]  
[Anonymous], ABS180607296 CORR
[5]  
[Anonymous], 2018 SIGIR WORKSH EC
[6]  
[Anonymous], P ACM SIGIR WORKSH E
[7]   E-commerce in Your Inbox: Product Recommendations at Scale [J].
Grbovic, Mihajlo ;
Radosavljevic, Vladan ;
Djuric, Nemanja ;
Bhamidipati, Narayan ;
Savla, Jaikit ;
Bhagwan, Varun ;
Sharp, Doug .
KDD'15: PROCEEDINGS OF THE 21ST ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING, 2015, :1809-1818
[8]   Attentive Long Short-Term Preference Modeling for Personalized Product Search [J].
Guo, Yangyang ;
Cheng, Zhiyong ;
Nie, Liqiang ;
Wang, Yinglong ;
Ma, Jun ;
Kankanhalli, Mohan .
ACM TRANSACTIONS ON INFORMATION SYSTEMS, 2019, 37 (02)
[9]   Searching by Talking: Analysis of Voice Queries on Mobile Web Search [J].
Guy, Ido .
SIGIR'16: PROCEEDINGS OF THE 39TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL, 2016, :35-44
[10]  
Ingber Amir, 2018, P 1 INT WORKSH GEN I