Efficient user profiling based intelligent travel recommender system for individual and group of users
R Logesh, V Subramaniyaswamy… - Mobile Networks and …, 2019 - Springer
Abstract In recent times, Recommender Systems (RSs) are gaining immense popularity with
the wider adaptation to deal information overload problem in various application domains …
the wider adaptation to deal information overload problem in various application domains …
On analyzing user preference dynamics with temporal social networks
The preferences adopted by individuals are constantly modified as these are driven by new
experiences, natural life evolution and, mainly, influence from friends. Studying these …
experiences, natural life evolution and, mainly, influence from friends. Studying these …
Towards Reducing Continuous Emotion Annotation Effort During Video Consumption: A Physiological Response Profiling Approach
Emotion-aware video applications (eg, gaming, online meetings, online tutoring) strive to
moderate the content presentations for a more engaging and improved user experience …
moderate the content presentations for a more engaging and improved user experience …
Identifying specific roles of users of social networks and their influence methods
A Peleshchyshyn, V Vus, O Markovets… - 2018 IEEE 13th …, 2018 - ieeexplore.ieee.org
This paper is devoted to formalization and identification of specific roles of social networks
users. The special system of user activity indicators is proposed. These indicators are basis …
users. The special system of user activity indicators is proposed. These indicators are basis …
Mobile personalized recommendation model based on privacy concerns and context analysis for the sustainable development of M-commerce
L Xiao, Q Lu, F Guo - Sustainability, 2020 - mdpi.com
A mobile personalized recommendation service satisfies the needs of users and stimulates
them to continue to adopt mobile commerce applications. Therefore, how to precisely …
them to continue to adopt mobile commerce applications. Therefore, how to precisely …
Using preference learning for detecting inconsistencies in clinical practice guidelines: methods and application to antibiotherapy
R Tsopra, JB Lamy, K Sedki - Artificial intelligence in medicine, 2018 - Elsevier
Clinical practice guidelines provide evidence-based recommendations. However, many
problems are reported, such as contradictions and inconsistencies. For example, guidelines …
problems are reported, such as contradictions and inconsistencies. For example, guidelines …
Personalized information recommendation model based on context contribution and item correlation
Q Lu, F Guo - Measurement, 2019 - Elsevier
The traditional information recommender system gives little consideration to the influence of
contexts on users and correlations between items, thus affects the quality of personalized …
contexts on users and correlations between items, thus affects the quality of personalized …
User profiling in elderly healthcare services in China: Scalper detection
Driven by the automation technologies and health informatics of Industry 4.0, hospitals in
China have deployed a complete automation system/platform for healthcare services …
China have deployed a complete automation system/platform for healthcare services …
An empirical investigation of command-line customization
M Schröder, J Cito - Empirical Software Engineering, 2022 - Springer
The interactive command line, also known as the shell, is a prominent mechanism used
extensively by a wide range of software professionals (engineers, system administrators …
extensively by a wide range of software professionals (engineers, system administrators …
On the role of similarity in analogical transfer
Analogical transfer consists in making the assumption that if two situations are alike in some
respect, they may be alike in others. This article explores the links that exist between …
respect, they may be alike in others. This article explores the links that exist between …