[HTML][HTML] Artificial intelligence in tactical human resource management: A systematic literature review
Abstract Digitization within Human Resource Management (HRM) has resulted in Artificial
Intelligence (AI) becoming increasingly prevalent in Human Resource Management …
Intelligence (AI) becoming increasingly prevalent in Human Resource Management …
Price-aware enhanced dynamic recommendation based on deep learning
W Guo, J Tian, M Li - Journal of Retailing and Consumer Services, 2023 - Elsevier
Price is one of the essential elements influencing consumer purchase behavior. Like
consumers' preferences in products, their price preferences also dynamically change over …
consumers' preferences in products, their price preferences also dynamically change over …
mHealth App recommendation based on the prediction of suitable behavior change techniques
X Mao, X Zhao, Y Liu - Decision Support Systems, 2020 - Elsevier
In light of individuals' increasing concern regarding their physical health, mobile health
applications (mHealth Apps) have gained popularity in recent years as important tools for …
applications (mHealth Apps) have gained popularity in recent years as important tools for …
E‐commerce sellers' ratings: Is user feedback adequate?
The literature on the theory of public procurement points out two well‐known informational
problems arising out of information asymmetry:(i) adverse selection and (ii) moral hazard. To …
problems arising out of information asymmetry:(i) adverse selection and (ii) moral hazard. To …
A rule-based automated machine learning approach in the evaluation of recommender engine
Purpose Any business that opts to adopt a recommender engine (RE) for various potential
benefits must choose from the candidate solutions, by matching to the task of interest and …
benefits must choose from the candidate solutions, by matching to the task of interest and …
Evaluating Online Products Using Text Mining: A Reliable Evidence-Based Approach
H Xu, R Wei, R Degroof, J Carberry - International Journal of …, 2022 - World Scientific
To address the uncertainty about the quality of online merchandise, e-commerce sites often
provide product review ranking services to help customers make purchasing decisions …
provide product review ranking services to help customers make purchasing decisions …
DeepApp: characterizing dynamic user interests for mobile application recommendation
It is extremely difficult to find one app in app stores that exactly meets the needs of users with
the boom in mobile applications nowadays. Although numerous app recommendation …
the boom in mobile applications nowadays. Although numerous app recommendation …
Behavioral changes of the audience by the algorithmic recommendation systems inside video-on-demand platforms considering the example of Netflix
C Gürmeriç - 2019 - search.proquest.com
Digital media revolution has provided new possibilities for different industries globally, in
lives of individuals including business related areas, entertainment and personal relations …
lives of individuals including business related areas, entertainment and personal relations …
A novel hybrid algorithm considering deviation in group recommender systems
With the popularity of the Internet, information is growing faster and faster, and people are
using recommender systems to make decisions. Instead of enjoying activities alone, people …
using recommender systems to make decisions. Instead of enjoying activities alone, people …
User Emotion Direction for Recommendation Systems-A Decade Review
S Chanrueang, S Thammaboosadee… - … on Automation and …, 2021 - ieeexplore.ieee.org
Recommendation systems are rapidly gaining popularity in software development, including
e-commerce, news, advertising, social networking, and entertainment. It filters appropriate …
e-commerce, news, advertising, social networking, and entertainment. It filters appropriate …