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Pei-Wen Yeh

dblp:157/6056 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2018
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Databases, data management, data science and information retrieval · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Databases, data mining, and information retrieval
1 paper
Data mining · 77% Recommender systems · 23%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Data mining › behavior modeling
customer behavior modeling		 0.312018
Customer Purchase Behavior Prediction from Payment Datasets · WSDM 2018
YearPublicationVenuePosition
2018 Customer Purchase Behavior Prediction from Payment Datasets
abstract
With the advances in the development of mobile payments, a huge amount of payment data are collected by banks. User payment data offer a good dataset to depict customer behavior patterns. A comprehensive understanding of customers' purchase behavior is crucial to developing good marketing strategies, which may trigger much greater purchase amounts. For example, by exploring customer behavior patterns, given a target store, a set of potential customers is able to be identified.
Yu Ting Wen, Pei-Wen Yeh, Tzu-Hao Tsai, Wen-Chih Peng, Hong-Han Shuai
 WSDM2