When Should Recommenders Account for Low QoS?-Reference-Cited by-同舟云学术

When Should Recommenders Account for Low QoS?

Published:2023 Issue: Volume:11 Page:132014-132036
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Nogueira Mateus Schulz¹^ORCID,Pinheiro João Ismael Damasceno¹,Assis Felipe¹^ORCID,Menasché Daniel Sadoc¹^ORCID,Sermpezis Pavlos²^ORCID,Spyropoulos Thrasyvoulos³

Affiliation:

1. Institute of Computing, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil

2. School of Informatics, Aristotle University of Thessaloniki, Biology Building Aristotle University Campus, Thesssaloniki, Greece

3. Department of Electrical and Computer Engineering, University of Crete, Voutes University Campus, Crete, Heraklion, Greece

Funder

Greece and European Union through the Operational Program Competitiveness, Entrepreneurship and Innovation under the Call RESEARCH-CREATE-INNOVATE

European High-Performance Computing Joint Undertaking

Foundation Coordination for the Improvement of Higher Education Personnel (CAPES), Council for Scientific and Technological Development (CNPq), and Rio de Janeiro State Research Support Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10323312.pdf?arnumber=10323312

Reference65 articles.

1. A Longitudinal View of Netflix: Content Delivery over IPv6 and Content Cache Deployments

2. QoS-Aware Web Service Recommendation by Collaborative Filtering

3. Social-Aware Replication in Geo-Diverse Online Systems

4. Adaptive Offline and Online Similarity-Based Caching

5. Joint Pushing and Recommendation for Susceptible Users with Time-Varying Connectivity