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Multigraph Convolutional Network Enhanced Neural Factorization Machine for Service Recommendation

Wei Gao, Jian Wu, Hua Ming
2022 Mathematical Problems in Engineering  
With an increasing number of web services on the Web, selecting appropriate services to meet the developer's needs for mashup development has become a difficult task.  ...  To tackle these challenges, in this paper, we propose a Multigraph Convolutional Network enhanced Neural Factorization Machine model (MGCN-NFM) for service recommendation.  ...  In this paper, we adopt a factorization machine-based model, which is a type of hybrid method for service recommendation.  ... 
doi:10.1155/2022/3747033 fatcat:dvqwiif3lfh2lif7rqcyybvvm4

Mashup-Oriented API Recommendation via Random Walk on Knowledge Graph

Xin Wang, Hao Wu, Ching-Hsien Hsu
2019 IEEE Access  
To cope with this issue, we present a graph-based algorithmic framework for the task of mashup-oriented API recommendation.  ...  INDEX TERMS Mashup development, API recommendation, random walks with restart, knowledge graph.  ...  Finally, multi-dimensional information is modeled by factorization machines to predict and recommend APIs for a target mashup.  ... 
doi:10.1109/access.2018.2890156 fatcat:p3yz7245kfhehdhpvceixq75eq

Multi-Relational Graph Convolution Network for Service Recommendation in Mashup Development

Wei Gao, Jian Wu
2022 Applied Sciences  
To speed up the mashup development process, recommending suitable services for developers is a vital problem.  ...  Finally, the relevance between mashup requirements and services is predicted based on the learned features on the graph.  ...  In [28] , Lian and Tang propose a neural graph collaborative filtering technique for API recommendation.  ... 
doi:10.3390/app12020924 fatcat:j7ogpx4xhfe3tam3twxd7o34gi

GHSCN: A Graph Neural Network-based API Popularity Prediction Method in Service Ecosystem

Zhong Li, Xiaochen Liu, Tianbo Wang, Wenhui He, Chunhe Xia
2020 IEEE Access  
Therefore, we propose an innovative API popularity prediction method in service ecosystem based on Graph Neural Network (GNN).  ...  Then, a Graph Heterogeneous Spatiotemporal Convolutional Network (GHSCN) model is proposed to predict the popularity of APIs based on GSEN, and for getting better prediction accuracy, four different Heterogeneous  ...  of Web Mashup.  ... 
doi:10.1109/access.2020.3011439 fatcat:lm55d65avncdlhnzekincf4kwy

Diversified and Compatible Web APIs Recommendation in IoT [article]

Wenwen Gong, Huiping Wu, Xiaokang Wang, Xuyun Zhang, Yawei Wang, Yifei Chen, Mohammad R. Khosravi
2021 arXiv   pre-print
In view of the above challenges and successful application of game theory in the IoT, based on the idea of game theory, we propose a compatible and diverse web APIs recommendation approach for mashup creations  ...  of incompatible web APIs and further leads to a mashup development failure.  ...  for mashup development in IoT.  ... 
arXiv:2107.10538v2 fatcat:vjm74boyr5gxhm763rb5rk224u

Deep Learning Framework for Online Interactive Service Recommendation in Iterative Mashup Development [article]

Yutao Ma, Xiao Geng, Jian Wang, Keqing He, Dionysis Athanasopoulos
2021 arXiv   pre-print
The boom of Web services increases the selection burden of software developers in developing service-based systems (such as mashups).  ...  Most of the existing service recommendation approaches are designed for mashup development in the single-round recommendation scenario.  ...  Inspired by some well-known models in click-through rate (CTR) prediction, a few hybrid approaches applied deep neural network (DNN) and factorization machine (FM) [11] to service recommendation.  ... 
arXiv:2101.02836v1 fatcat:lgbicp3oerflfixxi76kfyhfne

Collaborative Learning-Based Industrial IoT API Recommendation for Software-Defined Devices: The Implicit Knowledge Discovery Perspective

Honghao Gao, Xi Qin, Ramon J. Duran Barroso, Walayat Hussain, Yueshen Xu, Yuyu Yin
2020 IEEE Transactions on Emerging Topics in Computational Intelligence  
Thus, APIs are a powerful tool for rapidly developing industrial systems. However, the increasing number of APIs exacerbates the problem of finding suitable APIs.  ...  For example, most existing methods focus on the relation between users and APIs but neglect the valuable relations among the users or APIs themselves.  ...  As a new recommendation problem, APIs recommendation has attracted much attention in recent years. Algorithms in this field can be divided into APIs recommendation and mashup recommendation.  ... 
doi:10.1109/tetci.2020.3023155 fatcat:6k6rnxcx2bdmrdv6nowguer42m

Service Composition Recommendation Method Based on Recurrent Neural Network and Naive Bayes

Ming Chen, Junqiang Cheng, Guanghua Ma, Liang Tian, Xiaohong Li, Qingmin Shi, Tongguang Ni
2021 Scientific Programming  
The method is composed of two steps: the first step is service component recommendation based on recurrent neural network (RNN).  ...  Due to the lack of domain and interface knowledge, it is difficult for users to create suitable service processes according to their needs.  ...  [8] proposed the Self-Organization Map-Based functionality clustering algorithm and the Deep Factorization Machine-Based quality prediction algorithm to recommend API services.  ... 
doi:10.1155/2021/1013682 fatcat:4vlrjxxye5fcbba2r4vd7gsuda

Diversity-aware Web APIs Recommendation with Compatibility Guarantee [article]

Wenwen Gonga, Yulan Zhang, Xuyun Zhang, Yucong Duan, Yawei Wang, Yifei Chena, Lianyong Qi
2021 arXiv   pre-print
Experimental results validate the effectiveness and efficiency of our proposed DivCAR approach in balancing the web APIs recommendation diversity and compatibility.  ...  With the ever-increasing prevalence of web APIs (Application Programming Interfaces) in enabling smart software developments, finding and composing a list of existing web APIs that can corporately fulfil  ...  for mashup development in IoT.  ... 
arXiv:2108.04389v1 fatcat:kw2qchze7jefjkxeca6gwwczfi

Self-monitoring in social networks

Amin Anjomshoaa, Khue Vo Sao, Amirreza Tahamtan, A. Min Tjoa, Edgar Weippl
2012 International Journal of Intelligent Information and Database Systems  
The shift from traditional web which is also known as Web 1.0 is forced by the growing need for more efficient information sharing, collaboration, and business processes.  ...  This paper proposes a Web 2.0 analysis methodology that provides reusable foundation components for information extraction, analysis and visualization.  ...  For instance, WordNet returns no results for the term "Mashup"; however the result from Wikipedia in Google searching says: "In web development, a mashup is a web page or application that combines data  ... 
doi:10.1504/ijiids.2012.049110 fatcat:rlakxir2yrgzbeyp6dwkaxtxna

2021 Index IEEE Transactions on Services Computing Vol. 14

2022 IEEE Transactions on Services Computing  
Departments and other items may also be covered if they have been judged to have archival value. The Author Index contains the primary entry for each item, listed under the first author's name.  ...  The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination.  ...  ., +, TSC March-April 2021 472-486 Mashup Recommendation by Regularizing Matrix Factorization with API Co-Invocations.  ... 
doi:10.1109/tsc.2021.3135765 fatcat:cvny2iyuazb5tncphn74iq2o4e

From intelligent web of things to social web of things

Nafaâ Jabeur, Hedi Haddad
2016 Facta universitatis - series Electronics and Energetics  
We also present our vision of Intelligent WoT by proposing a multiagent system-based architecture for intelligent Web service composition.  ...  We argue in this paper that these devices should be augmented with artificial intelligence techniques for an enhanced management of their resources and an easier construction of Web applications integrating  ...  For instance, SOAP-based Web Services (WS-*) and RESTful APIs allow RWT to offer their functionalities.  ... 
doi:10.2298/fuee1603367j fatcat:wn2g4ptdsrbvfodkgdgytti4ii

Clustering and Association Rules for Web Service Discovery and Recommendation: A Systematic Literature Review

Waeal J. Obidallah, Bijan Raahemi, Umar Ruhi
2019 SN Computer Science  
The synthesis resulted in knowledge of currently proposed methods for web service discovery and recommendation based on clustering and association rule techniques.  ...  Future studies should broaden the basis of discovery and recommendation by including various types of web service descriptions including plain text that are currently used in web APIs.  ...  attention.  ... 
doi:10.1007/s42979-019-0026-8 fatcat:zxtfyluvhjcexohiskvwtdr2jq

Table of contents

2021 IEEE Transactions on Network and Service Management  
Elad Rapaport, Ingmar Poese, Polina Zilberman, Oliver Holschke, and Rami Puzis 4169 Neural and Attentional Factorization Machine-Based Web API Recommendation for Mashup Development . . . . . . . . . .  ...  Yvonne-Anne Pignolet, Stefan Schmid, and Gilles Tredan 4756 DeepCC: Multi-Agent Deep Reinforcement Learning Congestion Control for Multi-Path TCP Based on Self-Attention . . . . . . . .  ... 
doi:10.1109/tnsm.2021.3106439 fatcat:ze67mhvuinejfg6olbdsxclpga

Agriculture Spatiotemporal Business Intelligence using Open Data Integration

Irya Wisnubhadra, Stephanie Pamela Adithama, Safiza Suhana Kamal Baharin, Nanna Suryana Herman
2019 2019 International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)  
Preface Nowadays, the development of algorithms and technology that bases on the progress of artificial intelligence is making considerable progress.  ...  Artificial intelligence is developing continuously until now, and more and more objects can be resolved by artificial intelligence.  ...  Voting-Based Music Genre Classification Using Melspectogram and Convolutional Neural Network W 2 3 A B C D E F H I L M N O P R S T U V W Z Web Based Ontology Implementation for Information Search System  ... 
doi:10.1109/isriti48646.2019.9034635 fatcat:klam5teoejhhvbxbycuzeihks4
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