Information Searching Behavior Mining Based on Reinforcement Learning Models

2012 ◽  
pp. 109-126
Author(s):  
Liren Gan ◽  
Yonghua Cen ◽  
Chen Bai
Keyword(s):  
Reinforcement Learning ◽  
Searching Behavior ◽  
Learning Models ◽  
Information Searching ◽  
Behavior Mining ◽  
Reinforcement Learning Models ◽  
Information Searching Behavior

Bayes factors for reinforcement-learning models of the Iowa gambling task.

Decision ◽  
2016 ◽  
Vol 3 (2) ◽  
pp. 115-131 ◽  
Author(s):  
Helen Steingroever ◽  
Ruud Wetzels ◽  
Eric-Jan Wagenmakers
Keyword(s):  
Reinforcement Learning ◽  
Iowa Gambling Task ◽  
Bayes Factors ◽  
Gambling Task ◽  
Learning Models ◽  
Reinforcement Learning Models

scholarly journals Test-retest reliability of canonical reinforcement learning models

2019 ◽  
Author(s):  
Laura Weidinger ◽  
Andrea Gradassi ◽  
Lucas Molleman ◽  
Wouter van den Bos
Keyword(s):  
Reinforcement Learning ◽  
Learning Models ◽  
Retest Reliability ◽  
Reinforcement Learning Models ◽  
Test Retest Reliability

scholarly journals The Influence of Flow Experience on Online Consumers’ Information Searching Behavior: An Empirical Study of Chinese College Students

2020 ◽  
Vol 4 (4) ◽  
pp. 250-257
Author(s):  
Lin Wang ◽  
Suhan Wang
Keyword(s):  
College Students ◽  
Perceived Control ◽  
Rapid Development ◽  
Flow Experience ◽  
Searching Behavior ◽  
Information Searching ◽  
Chinese College Students ◽  
Online Consumers ◽  
Negative Effect ◽  
Information Searching Behavior

AbstractWith the rapid development of the online shopping market in recent years, flow theory has become one of the main theories used to explore online consumers’ shopping behaviors. Although flow experience may influence information searching behavior, little is known about this topic. This study explored the impacts of flow experience on online consumers’ information searching behavior in festival shopping. The questionnaire survey was conducted in several universities in China. The data, collected from 154 college students, were analyzed quantitatively. As the three key components of flow experience, perceived pleasure has negative effect on information searching frequency, whereas concentration has positive effect on information searching frequency. Perceived control does not have a significant impact on information searching frequency. It also revealed consumers’ information searching behavior positively affecting their purchase intentions in this special shopping context. We found that flow experience is an important psychological factor influencing online consumers’ information searching behavior. The study enriches the emotional dimension of information behavior model and provides insight into the relationships between positive psychological variables with flow experience as the representation and information searching behavior in shopping context.

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