Results 11 to 20 of about 4,615,721 (352)
Cogent Business & Management, 2021 One substantial issue that is still unexplored enough in the academic literature is user satisfaction antecedents in the Enterprise System (ES) domain.
Aws Al-Okaily +4 more
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Multi-Task Fusion via Reinforcement Learning for Long-Term User Satisfaction in Recommender Systems [PDF]
Knowledge Discovery and Data Mining, 2022 Recommender System (RS) is an important online application that affects billions of users every day. The mainstream RS ranking framework is composed of two parts: a Multi-Task Learning model (MTL) that predicts various user feedback, i.e., clicks, likes,
Qihua Zhang +7 more
semanticscholar +1 more source
Simulating User Satisfaction for the Evaluation of Task-oriented Dialogue Systems [PDF]
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021 Evaluation is crucial in the development process of task-oriented dialogue systems. As an evaluation method, user simulation allows us to tackle issues such as scalability and cost-efficiency, making it a viable choice for large-scale automatic ...
Weiwei Sun +6 more
semanticscholar +1 more source
Frontiers of Computer Science, 2023 If a user is presented an AI system that portends to explain how it works, how do we know whether the explanation works and the user has achieved a pragmatic understanding of the AI?
R. Hoffman +3 more
semanticscholar +1 more source
Jurnal Informasi dan Teknologi, 2023 This study aims to identify the elements that affect user satisfaction and the degree of user satisfaction with the online ticket application. This study makes use of the End User Computing Satisfaction (EUCS) model's development model, which includes ...
Dendy K Pramudito +4 more
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Understanding and Predicting User Satisfaction with Conversational Recommender Systems
ACM Trans. Inf. Syst., 2023 User satisfaction depicts the effectiveness of a system from the user’s perspective. Understanding and predicting user satisfaction is vital for the design of user-oriented evaluation methods for conversational recommender systems (CRSs).
Clemencia Siro +2 more
semanticscholar +1 more source
Current Psychology, 2022 This study explored the effect of chatbot emotional disclosure on user satisfaction and reuse intention for a chatbot counseling service. It also examined the independent and sequential mediation roles of user emotional disclosure intention and perceived
Gain Park, J. Chung, Seyoung Lee
semanticscholar +1 more source
The Impact of TikTok User Satisfaction on Continuous Intention to Use the Application
Journal of Open Innovation: Technology, Market and Complexity, 2022 People use social media not only for social purposes but also for business purposes. It is used in management and marketing as a tool to manage organizations and market products and services, especially to influence customers’ intention and satisfaction.
A. Sharabati +5 more
semanticscholar +1 more source
International Journal of Data and Network Science, 2022 Digitization has had a profound impact on changing consumer behavior and the reorientation of online services by service providers in both the public and private sectors.
M. Noor
semanticscholar +1 more source
THE DETERMINATION ON THE USE OF E-LEARNING SYSTEMS IN PRIVATE UNIVERSITIES IN JAKARTA [PDF]
Eurasia: Economics & Business, 2017 This research aims at determining the effect of computer self-efficacy (CSE) on the system quality, information quality, service quality, usage, user satisfaction, and individual impact by using a model of success of Delone and McLean information system.
Pawirosumarto S.
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