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Belal et al., 2022 - Google Patents

Pepper: Empowering user-centric recommender systems over gossip learning

Belal et al., 2022

View PDF
Document ID
1936064691770077183
Author
Belal Y
Bellet A
Mokhtar S
Nitu V
Publication year
Publication venue
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

External Links

Snippet

Recommender systems are proving to be an invaluable tool for extracting user-relevant content helping users in their daily activities (eg, finding relevant places to visit, content to consume, items to purchase). However, to be effective, these systems need to collect and …
Continue reading at arxiv.org (PDF) (other versions)

Classifications

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    • G06F17/30861—Retrieval from the Internet, e.g. browsers
    • G06F17/30864—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
    • G06F17/30867—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
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    • H04L67/10—Network-specific arrangements or communication protocols supporting networked applications in which an application is distributed across nodes in the network
    • H04L67/104—Network-specific arrangements or communication protocols supporting networked applications in which an application is distributed across nodes in the network for peer-to-peer [P2P] networking; Functionalities or architectural details of P2P networks
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