Výsledky vyhľadávania - Web application programming interface (API) recommendation

  1. 1

    TCL: Trustworthy Contrastive Learning for Web API Recommendation via Exploring Textual and Structural Semantics Autor Kang, Guosheng, Ren, Hongshuai, Liu, Jianxun, Cao, Buqing, Xu, Yu, Li, Pei

    ISSN: 2329-924X, 2373-7476
    Vydavateľské údaje: IEEE 2025
    “…With the development of service-oriented computing, software developers increasingly rely on diverse Web application programming interfaces…”
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    Mashup-Oriented Web API Recommendation via Multi-Model Fusion and Multi-Task Learning Autor Wu, Hao, Duan, Yunhao, Yue, Kun, Zhang, Lei

    ISSN: 1939-1374, 2372-0204
    Vydavateľské údaje: Piscataway IEEE 01.11.2022
    “… Therefore, we propose a neural framework (MTFM) based on multi-model fusion and multi-task learning for Mashup-oriented Web API recommendation…”
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  3. 3

    Python BMDS: A Python interface library and web application for the canonical EPA dose-response modeling software Autor Pham, Ly Ly, Watford, Sean, Friedman, Katie Paul, Wignall, Jessica, Shapiro, Andrew J.

    ISSN: 0890-6238, 1873-1708, 1873-1708
    Vydavateľské údaje: United States Elsevier Inc 01.12.2019
    “…•Python BMDS and web application enable automation of models available from BMDS…”
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  4. 4

    R2API: A Novel Method for Web API Recommendation by Using HGNNs With Multi-Task Learning Autor Wang, Yihui, Kang, Xinrou, Li, Xun, Gao, Shanquan

    ISSN: 0098-5589, 1939-3520
    Vydavateľské údaje: New York IEEE 01.09.2025
    “… Given that the high-order interactions between data are crucial for the recommendation tasks, this work proposes a novel web API recommendation method called R2API…”
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  5. 5

    SEHGN: Semantic-Enhanced Heterogeneous Graph Network for Web API Recommendation Autor Wang, Xuanye, Xi, Meng, Li, Ying, Pan, Xiaohua, Wu, Yangyang, Deng, Shuiguang, Yin, Jianwei

    ISSN: 1939-1374, 2372-0204
    Vydavateľské údaje: IEEE 01.09.2024
    “…s. Various Web API recommendation methods have been proposed for Mashup creation, but most either treat different feature factor interactions equally or solely rely on requirements for API recommendation…”
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  6. 6

    Mashup Recommendation by Regularizing Matrix Factorization with API Co-Invocations Autor Yao, Lina, Wang, Xianzhi, Sheng, Quan Z., Benatallah, Boualem, Huang, Chaoran

    ISSN: 1939-1374, 2372-0204
    Vydavateľské údaje: Piscataway IEEE 01.03.2021
    “… Since mashups are predominantly based on public data sources and existing APIs, it requires no sophisticated programming knowledge of people to develop mashup applications…”
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    Harnessing the Power of Large Language Model for Effective Web API Recommendation Autor Qin, Shaowei, Zhao, Yiji, Wu, Hao, Zhang, Lei, He, Qiang

    ISSN: 1551-3203, 1941-0050
    Vydavateľské údaje: Piscataway IEEE 01.07.2025
    “…Various Web API Recommendation (AR) techniques have assisted developers in efficiently identifying suitable APIs for mashup creation…”
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  8. 8

    Neural and Attentional Factorization Machine-Based Web API Recommendation for Mashup Development Autor Kang, Guosheng, Liu, Jianxun, Xiao, Yong, Cao, Buqing, Xu, Yu, Cao, Manliang

    ISSN: 1932-4537, 1932-4537
    Vydavateľské údaje: New York IEEE 01.12.2021
    “…The wide adoption of Service Oriented Architecture (SOA) has driven the creation of a massive amount of applications on the Internet, which includes the popular Mashups composed from multiple existing Web APIs…”
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    Web API recommendation via combining graph attention representation and deep factorization machines quality prediction Autor Cao, Buqing, Peng, Mi, Qing, Yueying, Liu, Jianxun, Kang, Guosheng, Li, Bing, Fletcher, Kenneth K.

    ISSN: 1532-0626, 1532-0634
    Vydavateľské údaje: Hoboken, USA John Wiley & Sons, Inc 25.09.2022
    Vydané v Concurrency and computation (25.09.2022)
    “… The proposed web API recommendation method for mashup development uses graph attention representation and DeepFM quality prediction…”
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  10. 10

    Web API Recommendation via Exploring Textual and Structural Semantics With Contrastive Learning and Joint Training Autor Kang, Guosheng, Ren, Hongshuai, Chen, Wanjun, Liu, Jianxun, Cao, Buqing, Xu, Yu

    ISSN: 1932-4537, 1932-4537
    Vydavateľské údaje: New York IEEE 01.04.2025
    “… (Application Programming Interfaces, also named Web services) from Web API markets to create feature-rich Mashup applications to save time and cost…”
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    Popularity-Aware and Diverse Web APIs Recommendation Based on Correlation Graph Autor Wu, Shengqi, Shen, Shigen, Xu, Xiaolong, Chen, Ying, Zhou, Xiaokang, Liu, Dongning, Xue, Xiao, Qi, Lianyong

    ISSN: 2329-924X, 2373-7476
    Vydavateľské údaje: Piscataway IEEE 01.04.2023
    “…The ever-increasing web application programming interfaces (APIs) in various service-sharing communities (e.g., ProgrammableWeb.com and Mashape.com…”
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    Boosting API Recommendation with Implicit Feedback Autor Zhou, Yu, Yang, Xinying, Chen, Taolue, Huang, Zhiqiu, Ma, Xiaoxing, Gall, Harald C.

    ISSN: 0098-5589, 1939-3520
    Vydavateľské údaje: New York IEEE 01.06.2022
    “… To ease the burden, a multitude of API recommendation approaches have been proposed. However, most of the currently available API recommenders do not support the effective integration of user feedback into the recommendation loop…”
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    Counteracting Popularity Bias in Multimedia Web API Recommendation Autor Zhai, Dengshuai, Yan, Chao, Zhong, Weiyi, Ding, Shaoqi, Qi, Lianyong, Zhou, Xiaokang

    ISSN: 2329-924X, 2373-7476
    Vydavateľské údaje: Piscataway IEEE 01.10.2025
    “…With the widespread adoption of multimedia web APIs (API) in web and mobile applications, a substantial proliferation of these APIs is observed…”
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    Compatible Compositions Recommendation for Mashup-Oriented Depopularity Web API Autor Sang, Chunyan, Deng, Xinyan

    ISSN: 2329-924X, 2373-7476
    Vydavateľské údaje: Piscataway IEEE 01.10.2025
    “…With the increasing popularity of mashup development composed of various Web APIs in the realm of Web services, API recommendation research has gained significant attention…”
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    API Usage Recommendation Via Multi-View Heterogeneous Graph Representation Learning Autor Chen, Yujia, Gao, Cuiyun, Ren, Xiaoxue, Peng, Yun, Xia, Xin, Lyu, Michael R.

    ISSN: 0098-5589, 1939-3520
    Vydavateľské údaje: New York IEEE 01.05.2023
    “… With the ever-growing number of APIs and libraries, it becomes increasingly difficult for developers to find appropriate APIs, indicating the necessity of automatic API usage recommendation…”
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    Cooperative Mashup Embedding Leveraging Knowledge Graph for Web API Recommendation Autor Zhang, Chunxiang, Qin, Shaowei, Wu, Hao, Zhang, Lei

    ISSN: 2169-3536, 2169-3536
    Vydavateľské údaje: Piscataway IEEE 2024
    Vydané v IEEE access (2024)
    “…Creating top-notch Mashup applications is becoming increasingly difficult with an overwhelming number of Web APIs…”
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    Revisiting, Benchmarking and Exploring API Recommendation: How Far Are We? Autor Peng, Yun, Li, Shuqing, Gu, Wenwei, Li, Yichen, Wang, Wenxuan, Gao, Cuiyun, Lyu, Michael R.

    ISSN: 0098-5589, 1939-3520
    Vydavateľské údaje: New York IEEE 01.04.2023
    “…Application Programming Interfaces (APIs), which encapsulate the implementation of specific functions as interfaces, greatly improve the efficiency of modern software development…”
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    KS-GNN: Keyword Search via Graph Neural Network for Web API Recommendation Autor Kang, Guosheng, Wang, Yang, Ren, Hongshuai, Cao, Buqing, Liu, Jianxun, Wen, Yiping

    ISSN: 1932-4537, 1932-4537
    Vydavateľské údaje: New York IEEE 01.10.2024
    “… hidden API compatibility information in the network. This paper introduces the KS-GNN model, a novel approach that utilizes graph neural network and auto-encoder techniques for Web API recommendation…”
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    CCeACF: content and complementarity enhanced attentional collaborative filtering for cloud API recommendation Autor Chen, Zhen, Chen, Wenhui, Liu, Xiaowei, Zhao, Jing

    ISSN: 0920-8542, 1573-0484
    Vydavateľské údaje: New York Springer US 01.12.2024
    Vydané v The Journal of supercomputing (01.12.2024)
    “…Cloud application programming interface (API) is a software intermediary that enables applications to communicate and transfer information to one another in the cloud…”
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    Web API Recommendation Based on Self-Attentional Neural Factorization Machines With Domain Interactions Autor Kang, Guosheng, Ding, Linghang, Liu, Jianxun, Cao, Buqing, Xu, Yu

    ISSN: 2327-4697, 2334-329X
    Vydavateľské údaje: Piscataway IEEE 01.11.2023
    “…With the advances of service computing technology, there has been a significant focus on enhancing the relevance or accuracy of Web API recommendation for Mashup creation…”
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