Results 31 to 40 of about 167,915 (158)
QoS Prediction for Mobile Edge Service Recommendation With Auto-Encoder
IEEE Access, 2019 In the mobile edge computing environment, there are a large number of mobile edge services which are the carriers of various mobile intelligent applications. So how to recommend the most suitable candidate from such a huge number of available services is
Yuyu Yin +5 more
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A Hybrid Approach to Service Recommendation Based on Network Representation Learning
IEEE Access, 2019 Network representation learning has attracted much attention as a new learning paradigm to embed network vertices into a low-dimensional vector space, by preserving network information.
Hao Wu +4 more
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CAAI Transactions on Intelligence Technology, 2023 Recent years have witnessed the rapid development of service‐oriented computing technologies. The boom of Web services increases software developers' selection burden in developing new service‐based systems such as mashups.
Yutao Ma +4 more
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RLISR: A Deep Reinforcement Learning Based Interactive Service Recommendation Model
IEEE AccessAn increasing number of services are being offered online, which leads to great difficulties in selecting appropriate services during mashup development. There have been many service recommendation studies and achieved remarkable results to alleviate the
Mingwei Zhang +4 more
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Service Quality of a Public Library:
Maketingu Janaru, 2023 The purpose of this study is to examine (1) the dimensions of perceived service quality, (2) the effect of service quality on overall satisfaction, loyalty, and recommendation, and (3) the moderating effects of age and gender on the relationship between ...
Hanako Majima
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Trust expansion and listwise learning-to-rank based service recommendation method
Tongxin xuebao, 2018 In view of the problem of trust relationship in traditional trust-based service recommendation algorithm,and the inaccuracy of service recommendation list obtained by sorting the predicted QoS,a trust expansion and listwise learning-to-rank based service
Chen FANG +3 more
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Location-Aware Deep Interaction Forest for Web Service QoS Prediction
Applied SciencesWith the rapid development of the web service market, the number of web services shows explosive growth. QoS is an important factor in the recommendation scene; how to accurately recommend a high-quality service for users among the massive number of web ...
Shaoyu Zhu, Jiaman Ding, Jingyou Yang
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Service Recommendation Method Based on Trusted Similar User [PDF]
Jisuanji gongcheng, 2016 It is increasingly important to perform service recommendation as increasingly more users and services are involved in service computing,but some inauthentic service evaluations from a few users decrease the dependability and effectiveness of service ...
WU Wenming,LIU Xiping
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Service recommendation method based on context-embedded support vector machine
Tongxin xuebao, 2019 Combined with contexts and SVM,a service recommendation method based on context-embedded support vector machine (SRM-CESVM) was proposed.Firstly,according to the different contexts,the user rating matrix was modified to make it with embedded contexts ...
Chenyang ZHAO, Junling WANG
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QoS‐aware web service recommendation via exploring the users' personalized diversity preferences
Engineering ReportsWith the popularity and wide adoption of SOA (service‐oriented architecture), a massive amount of Web services emerge on the Internet. It is difficult for users to find the desired services from a large number of services.
Guosheng Kang +5 more
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