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Editorial: Trust Management for Multimedia Big Data

Authors:

Zheng Yan,

Jun Liu,

Robert H. Deng,

Francisco HerreraAuthors Info & Claims

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), Volume 12, Issue 4s

Article No.: 57, Pages 1 - 2

https://doi.org/10.1145/2978431

Published: 15 September 2016 Publication History

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Liu JShang LSu YNie WWen XLiu A(2024)Privacy Preserving Multi-source Cross-domain Recommendation based on Knowledge GraphACM Transactions on Multimedia Computing, Communications, and Applications10.1145/3639706Online publication date: 5-Jan-2024
https://dl.acm.org/doi/10.1145/3639706
Song YYang XXu C(2023)Self-supervised Calorie-aware Heterogeneous Graph Networks for Food RecommendationACM Transactions on Multimedia Computing, Communications, and Applications10.1145/352461819:1s(1-23)Online publication date: 3-Feb-2023
https://dl.acm.org/doi/10.1145/3524618
Gasmi IAzizi MSeridi-Bouchelaghem HAzizi NBelhaouari S(2021)Enhanced context-aware recommendation using topic modeling and particle swarm optimizationJournal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology10.3233/JIFS-21033140:6(12227-12242)Online publication date: 1-Jan-2021
https://dl.acm.org/doi/10.3233/JIFS-210331
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Editorial: Trust Management for Multimedia Big Data

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cover image ACM Transactions on Multimedia Computing, Communications, and Applications

ACM Transactions on Multimedia Computing, Communications, and Applications Volume 12, Issue 4s

Special Section on Trust Management for Multimedia Big Data and Special Section on Best Papers of ACM Multimedia 2015

November 2016

242 pages

ISSN:1551-6857

EISSN:1551-6865

DOI:10.1145/2997658

Editor:
Alberto Del Bimbo
University of Firenze, Italy

Issue’s Table of Contents

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 September 2016

Published in TOMM Volume 12, Issue 4s

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National Key Foundational Research on Network and Space Security
111 project
Chinese Educational Ministry
NSFC
Natural Science Basic Research Plan in Shaanxi Province of China

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Liu JShang LSu YNie WWen XLiu A(2024)Privacy Preserving Multi-source Cross-domain Recommendation based on Knowledge GraphACM Transactions on Multimedia Computing, Communications, and Applications10.1145/3639706Online publication date: 5-Jan-2024
https://dl.acm.org/doi/10.1145/3639706
Song YYang XXu C(2023)Self-supervised Calorie-aware Heterogeneous Graph Networks for Food RecommendationACM Transactions on Multimedia Computing, Communications, and Applications10.1145/352461819:1s(1-23)Online publication date: 3-Feb-2023
https://dl.acm.org/doi/10.1145/3524618
Gasmi IAzizi MSeridi-Bouchelaghem HAzizi NBelhaouari S(2021)Enhanced context-aware recommendation using topic modeling and particle swarm optimizationJournal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology10.3233/JIFS-21033140:6(12227-12242)Online publication date: 1-Jan-2021
https://dl.acm.org/doi/10.3233/JIFS-210331
Yan ZGovindaraju VZheng QWang Y(2020)IEEE Access Special Section Editorial: Trusted ComputingIEEE Access10.1109/ACCESS.2020.29697688(25722-25726)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.2969768

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Recommendations

Privacy-Preserving Layer over MapReduce on Cloud

A Trust Management Solution in the Context of Hybrid Clouds

A MapReduce Based Approach of Scalable Multidimensional Anonymization for Big Data Privacy Preservation on Cloud

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