Results 11 to 20 of about 192,726 (305)
SERVICE RECOMMENDATION ON WIKI-WS PLATFORM
TASK Quarterly, 2015 The article presents the issues of recommendation services for users. The commonly used solutions shown include known classes of recommendation systems and information about their area of use and the most frequently used algorithms.
ANDRZEJ SOBECKI
doaj +2 more sources
Multi-Relational Graph Convolution Network for Service Recommendation in Mashup Development
Applied Sciences, 2022 With the rapid development of service-oriented computing, an overwhelming number of web services have been published online. Developers can create mashups that combine one or multiple services to meet complex business requirements. To speed up the mashup
Wei Gao, Jian Wu
doaj +1 more source
diffeRS: A Mobile Recommender Service [PDF]
2010 Eleventh International Conference on Mobile Data Management, 2010 Thanks to advances in mobile technology, modern mobile devices have become essential companions, assisting their users in attaining their daily tasks. It will not be long before these devices will become recommending companions, advising users about what data (e.g., restaurants) and what services e.g., podcast channels) they may enjoy in the local area
Lucia Del Prete, Licia Capra
openaire +1 more source
Dynamic QoS Prediction Algorithm Based on Kalman Filter Modification
Sensors, 2022 With the widespread adoption of service-oriented architectures (SOA), services with the same functionality but the different Quality of Service (QoS) are proliferating, which is challenging the ability of users to build high-quality services. It is often
Yunfei Yan +5 more
doaj +1 more source
An elastic recommender process for cloud service recommendation scalability
Concurrency and Computation: Practice and Experience, 2022 AbstractCloud computing services are ubiquitous in society and cloud recommender systems play a crucial role in intelligently selecting services for cloud users. Currently, recommendations are static with low scalability. Only one recommendation list is generated at a time and the recommender strategy in the recommendation cycle is not adjustable. This
Rui-dong Qi +3 more
openaire +2 more sources
IEEE Access, 2019 In the service network, there exist various objects and rich relations among them. These various objects and rich relations naturally form a heterogeneous information network.
Fenfang Xie +4 more
doaj +1 more source
Service recommendation and selection in centralized and decentralized environments. [PDF]
, 2017 With the increasing use of web services in everyday tasks we are entering an era of Internet of Services (IoS). Service discovery and selection in both centralized and decentralized environments have become a critical issue in the area of web services ...
Ahmed, Mariwan
core +1 more source
Service-Aware Personalized Item Recommendation
IEEE Access, 2022 Current recommender systems employ item-centric properties to estimate ratings and present the results to the user. However, recent studies highlight the fact that the stages of item fruition also involve extrinsic factors, such as the interaction with ...
Noemi Mauro +2 more
doaj +1 more source
Towards A Self Adaptive System for Social Wellness
Sensors, 2016 Advancements in science and technology have highlighted the importance of robust healthcare services, lifestyle services and personalized recommendations. For this purpose patient daily life activity recognition, profile information, and patient personal
Asad Masood Khattak +4 more
doaj +1 more source
Promotion Mechanism of User Demand to Library Literature Resource Construction, Management and Service: Based on Grounded Theory [PDF]
Nongye tushu qingbao xuebao, 2022 [Purpose/Significance] The existing research on the subject of readers' recommendation lacks in-depth discussion on the reasons for readers' recommendation.
ZHANG Hongping
doaj +1 more source