[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Tang et al., 2019 - Google Patents

A factorization machine-based QoS prediction approach for mobile service selection

Tang et al., 2019

View PDF
Document ID
12444475642044283779
Author
Tang M
Liang W
Yang Y
Xie J
Publication year
Publication venue
IEEE Access

External Links

Snippet

Mobile services allow us to access the abundant and various resources (including data and services) on the Internet or devices in the physical world via wireless network technologies. It becomes increasingly popular to create mobile applications by combining existing mobile …
Continue reading at ieeexplore.ieee.org (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30861Retrieval from the Internet, e.g. browsers
    • G06F17/30864Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
    • G06F17/30867Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30286Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • G06Q10/063Operations research or analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • G06N99/005Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for programme control, e.g. control unit
    • G06F9/06Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
    • G06F9/46Multiprogramming arrangements
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computer systems utilising knowledge based models
    • G06N5/04Inference methods or devices
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F21/00Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce, e.g. shopping or e-commerce
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network-specific arrangements or communication protocols supporting networked applications
    • H04L67/10Network-specific arrangements or communication protocols supporting networked applications in which an application is distributed across nodes in the network

Similar Documents

Publication Publication Date Title
Tang et al. Collaborative web service quality prediction via exploiting matrix factorization and network map
Kumari et al. Multimedia big data computing and Internet of Things applications: A taxonomy and process model
Liu et al. A personalized clustering-based and reliable trust-aware QoS prediction approach for cloud service recommendation in cloud manufacturing
Yang et al. A location-based factorization machine model for web service QoS prediction
Lo et al. An extended matrix factorization approach for QoS prediction in service selection
Xu et al. Context-aware QoS prediction for web service recommendation and selection
Tang et al. A factorization machine-based QoS prediction approach for mobile service selection
Yu et al. Personalized QoS prediction for web services using latent factor models
US20200293838A1 (en) Scheduling computation graphs using neural networks
Ma et al. A highly accurate prediction algorithm for unknown web service QoS values
Yin et al. Colbar: A collaborative location-based regularization framework for QoS prediction
Ma et al. Multi-valued collaborative QoS prediction for cloud service via time series analysis
Chen et al. Exploiting Web service geographical neighborhood for collaborative QoS prediction
Chang et al. A graph-based QoS prediction approach for web service recommendation
Xiong et al. A self-adaptive approach to service deployment under mobile edge computing for autonomous driving
Zhang et al. Towards efficient, credible and privacy-preserving service QoS prediction in unreliable mobile edge environments
Xu et al. Towards machine-learning-driven effective mashup recommendations from big data in mobile networks and the Internet-of-Things
Sun et al. A trust-aware task allocation method using deep q-learning for uncertain mobile crowdsourcing
Zhang et al. Efficient and privacy-preserving federated QoS prediction for cloud services
Wang et al. QoS prediction of web services based on reputation-aware network embedding
Zou et al. NCRL: Neighborhood-based collaborative residual learning for adaptive QoS prediction
Chen et al. QoS prediction for web services in cloud environments based on swarm intelligence search
Jin et al. Mobility-aware and privacy-protecting qos optimization in mobile edge networks
Xiong et al. A learning approach to QoS prediction via multi-dimensional context
Yu et al. A federated recommendation algorithm based on user clustering and meta-learning