Mar 30, 2022 · We propose a novel decentralized collaborative learning framework for POI recommendation (DCLR), which allows users to train their personalized models locally ...

We propose a novel decentralized collaborative learning framework for POI recommendation (DCLR), where users receive a fully personalized local recommendation ...

Oct 14, 2024 · We propose a novel decentralized collaborative learning with knowledge graph enhancement framework for POI recommendation (DecKG).

Jan 22, 2024 · Central to this CL paradigm is reference data, which is an intermediary that allows users to exchange their soft decisions without directly ...

Decentralized Collaborative Learning Framework for Next POI Recommendation. Overview of attention for article published in ACM Transactions on Information ...

DCLR significantly reduces the local models' dependence on the cloud for training, and can be used to expand arbitrary centralized recommendation models. To ...

While recent efforts have developed CL-based POI frameworks for robust and privacy-centric recommendations, they typically use a single and unified reference.

We propose a novel on-device POI recommendation framework, namely Model-Agnostic Collaborative learning for on-device POI recommendation (MAC), allowing users ...

Oct 19, 2024 · • DCLR: It is a decentralized framework of on-device POI recommendation. Initially, the server will group users based on regions. Then ...

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