[HTML][HTML] Artificial intelligence in tactical human resource management: A systematic literature review

AM Votto, R Valecha, P Najafirad, HR Rao - International Journal of …, 2021 - Elsevier
Abstract Digitization within Human Resource Management (HRM) has resulted in Artificial
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 …

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 …

E‐commerce sellers' ratings: Is user feedback adequate?

PK Das, T Kumar - International Journal of Consumer Studies, 2023 - Wiley Online Library
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 …

A rule-based automated machine learning approach in the evaluation of recommender engine

RK Behera, PK Bala, R Jain - Benchmarking: An International Journal, 2020 - emerald.com
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 …

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 …

DeepApp: characterizing dynamic user interests for mobile application recommendation

Y Liang, L Liu, L Huangfu, Z Wang, B Guo - World Wide Web, 2023 - Springer
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 …

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 …

A novel hybrid algorithm considering deviation in group recommender systems

WY Liang, CC Huang - Multimedia Tools and Applications, 2024 - Springer
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 …

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 …