Results 21 to 30 of about 192,726 (305)

Personalized QoS Prediction for Service Recommendation With a Service-Oriented Tensor Model

open access: yesIEEE Access, 2019
Quality of Service (QoS) value is usually unknown in service recommendation practice. There are some matrix factorization approaches for predicting the unknown value with a user-service model, which uses a single collaboration with the user's neighbor ...
Lantian Guo   +4 more
doaj   +1 more source

QoS Recommendation in Cloud Services

open access: yesIEEE Access, 2017
As cloud computing becomes increasingly popular, cloud providers compete to offer the same or similar services over the Internet. Quality of service (QoS), which describes how well a service is performed, is an important differentiator among functionally equivalent services. It can help a firm to satisfy and win its customers.
Xianrong Zheng, Li Da Xu, Sheng Chai
openaire   +3 more sources

Privacy-Aware Data Publishing and Integration for Collaborative Service Recommendation

open access: yesIEEE Access, 2018
Item-based collaborative filtering (i.e., ICF) technique has been widely recruited to make service recommendations in the big data environment. However, the ICF technique only performs well when the data for service recommendation decision-making are ...
Chao Yan   +4 more
doaj   +1 more source

Research on Service Recommendation Method of Multi-network Hybrid Embed-ding Learning [PDF]

open access: yesJisuanji kexue yu tansuo, 2022
The network embedding method can map the network nodes to a low-dimensional vector space and ext-ract the feature information of each node effectively. In the field of service recommendation, some studies show that the introduction of network embedding ...
WANG Xuechun, LYU Shengkai, WU Hao, HE Peng, ZENG Cheng
doaj   +1 more source

Towards a Knowledge-Based Approach to Semantic Service Composition [PDF]

open access: yes, 2003
The successful application of Grid and Web Service technologies to real-world problems, such as e-Science [1], requires not only the development of a common vocabulary and meta-data framework as the basis for inter-agent communication and service ...
Feng Tao   +22 more
core   +1 more source

A Recommender System for Telecom Users: Experimental Evaluation of Recommendation Algorithms

open access: yes, 2011
The increasing flourish of available services in telecom domain offers more choices to the end user. On the other hand, such wide offer cannot be completely evaluated by the user, and some services may pass unobserved even if useful.
Yu, Jian   +7 more
core   +1 more source

Privacy-Preserving and Scalable Service Recommendation Based on SimHash in a Distributed Cloud Environment

open access: yesComplexity, 2017
With the increasing volume of web services in the cloud environment, Collaborative Filtering- (CF-) based service recommendation has become one of the most effective techniques to alleviate the heavy burden on the service selection decisions of a target ...
Yanwei Xu   +3 more
doaj   +1 more source

PProx

open access: yesProceedings of the 22nd International Middleware Conference, 2021
We present PProx, a system preventing recommendation-as-a-service (RaaS) providers from accessing sensitive data about the users of applications leveraging their services. PProx does not impact recommendations accuracy, is compatible with arbitrary recommendation algorithms, and has minimal deployment requirements.
Rosinosky, Guillaume   +5 more
openaire   +2 more sources

A Survey of User Profiling: State-of-the-Art, Challenges, and Solutions

open access: yesIEEE Access, 2019
Advancements in information and communication technology, and online web users have given attention to the virtual representation of each user, which is crucial for effective service personalization.
Christopher Ifeanyi Eke   +3 more
doaj   +1 more source

Approach to Building a Recommendation System for Libraries

open access: yesСовременные информационные технологии и IT-образование, 2023
The paper considers the possibility of building a hybrid recommendation system for the electronic library catalog in the form of a recommendation service. The following options for building recommendations were considered: collaborative filtering methods,
Yulia Leonova   +3 more
doaj   +1 more source

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