An Adaptive Recommendation Mechanism of Enterprise Service Collaboration

被引：1
|
作者：
Xue Xiao [1 ]
Wang Shufang [1 ]
Huang Biqing
机构：
[1] Henan Polytech Univ, Sch Comp Sci & Technol, Jiaozuo, Henan, Peoples R China
来源：
2013 INTERNATIONAL CONFERENCE ON SERVICE SCIENCES (ICSS 2013) | 2013年
关键词：
adaptive recommendation; Cluster Supply Chain (CSC); enterprise collaboration; service composition;
D O I：
10.1109/ICSS.2013.36
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Because of market turbulence and largely unpredictable economic changes, the collaboration between enterprises needs to be adjusted according to the demands. As a result, the service system supporting the collaboration between enterprises as the infrastructure needs to be reconfigured with environment changes. To solve this problem, an adaptive recommendation mechanism of enterprise service collaboration is proposed in the paper. Finally, a case study on collaborative logistics is introduced to explain the whole evolution process of service system, which verifies the feasibility of the mechanism.
引用
收藏
页码：186 / 191
页数：6
相关论文
共 50 条
  • [41] Adaptive service composition in flexible processes
    Ardagna, Danilo
    Pernici, Barbara
    IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, 2007, 33 (06) : 369 - 384
  • [42] Adaptive Service Provision in Mobile Enivronments
    Saddiki, H.
    Bahri, L.
    Harroud, H.
    2013 ACS INTERNATIONAL CONFERENCE ON COMPUTER SYSTEMS AND APPLICATIONS (AICCSA), 2013,
  • [43] Multi-service value chains collaboration for repairperson resources selection using a many-objective evolutionary algorithm with adaptive reference vectors
    Liu, Pengcheng
    Sun, Linfu
    APPLIED SOFT COMPUTING, 2022, 131
  • [44] ReputationNet: Reputation-Based Service Recommendation for e-Science
    Yao, Jinhui
    Tan, Wei
    Nepal, Surya
    Chen, Shiping
    Zhang, Jia
    De Roure, David
    Goble, Carole
    IEEE TRANSACTIONS ON SERVICES COMPUTING, 2015, 8 (03) : 439 - 452
  • [45] Experiments on service composition refinement on the basis of preference-driven recommendation
    Ba, Cheikh
    Cerqueira, Thiago
    Costa, Umberto
    Ferrari, Mirian Halfeld
    Musicante, Martin A.
    Robert, Sophie
    INTERNATIONAL JOURNAL OF WEB AND GRID SERVICES, 2016, 12 (02) : 182 - 214
  • [46] Service Recommendation for Composition Creation based on Collaborative Attention Convolutional Network
    Yan, Ruyu
    Fan, Yushun
    Zhang, Jia
    Zhang, Junqi
    Lin, Haozhe
    2021 IEEE INTERNATIONAL CONFERENCE ON WEB SERVICES, ICWS 2021, 2021, : 397 - 405
  • [47] Towards autonomous service level agreement negotiation for adaptive service composition
    Yan, Jun
    Zhang, Jianying
    Lin, Jian
    Chhetri, Mohan B.
    Goh, Suk K.
    Kowalczyk, Ryszard
    2006 10TH INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK IN DESIGN, PROCEEDINGS, VOLS 1 AND 2, 2006, : 757 - 762
  • [48] Adaptive recommendation method for network resources based on improved transfer learning
    Chen, Xinsheng
    INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY, 2024, 74 (1-2) : 99 - 106
  • [49] An adaptive service selection method for cross-cloud service composition
    Yang, Jun
    Lin, Wenmin
    Dou, Wanchun
    CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2013, 25 (18) : 2435 - 2454
  • [50] Adaptive Service Selection According to the Service Density in Multiple Qos Aspects
    Cho, Jae-Hyun
    Ko, Han-Gyu
    Ko, In-Young
    IEEE TRANSACTIONS ON SERVICES COMPUTING, 2016, 9 (06) : 883 - 894
12345