Collaborating with Users in Proximity for Decentralized Mobile Recommender Systems-Reference-Cited by-同舟云学术

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Collaborating with Users in Proximity for Decentralized Mobile Recommender Systems

Published:2019-08 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI)
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Author:

Beierle Felix,Eichinger Tobias

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9036713/9060076/09060231.pdf?arnumber=9060231

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A hybrid recommendation scheme for delay-tolerant networks: The case of digital marketplaces;Array;2023-09

2. Semi-decentralized Federated Ego Graph Learning for Recommendation;Proceedings of the ACM Web Conference 2023;2023-04-30

3. A human-centered decentralized architecture and recommendation engine in SIoT;User Modeling and User-Adapted Interaction;2022-04-09

4. MobRec: Mobile Platform for Decentralized Recommender Systems;T-Labs Series in Telecommunication Services;2021

5. Introduction;T-Labs Series in Telecommunication Services;2021

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