Results 11 to 20 of about 174,662 (261)
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
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Extracting Relevant Terms from Mashup Descriptions for Service Recommendation
Tsinghua Science and Technology, 2017 Due to the exploding growth in the number of web services, mashup has emerged as a service composition technique to reuse existing services and create new applications with the least amount of effort.
Yang Zhong, Yushun Fan
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A Time-Aware Dynamic Service Quality Prediction Approach for Services
Tsinghua Science and Technology, 2020 Dynamic Quality of Service (QoS) prediction for services is currently a hot topic and a challenge for research in the fields of service recommendation and composition.
Ying Jin, Weiguang Guo, Yiwen Zhang
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A Novel Approach for Web Service Recommendation Based on Advanced Trust Relationships
Information, 2019 Service recommendation is one of the important means of service selection. Aiming at the problems of ignoring the influence of typical data sources such as service information and interaction logs on the similarity calculation of user preferences and ...
Lijun Duan, Hao Tian, Kun Liu
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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
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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
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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
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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
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Complexity, 2017 With the increasing volume of web services in the cloud environment, Collaborative Filtering- (CF-) based service recommendation has become one of the most effective techniques to alleviate the heavy burden on the service selection decisions of a target ...
Yanwei Xu +3 more
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Personalized QoS Prediction for Service Recommendation With a Service-Oriented Tensor Model
IEEE Access, 2019 Quality of Service (QoS) value is usually unknown in service recommendation practice. There are some matrix factorization approaches for predicting the unknown value with a user-service model, which uses a single collaboration with the user's neighbor ...
Lantian Guo +4 more
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