Search Results for author: Wai Kin Victor Chan

Found 4 papers, 1 papers with code

CDR-Adapter: Learning Adapters to Dig Out More Transferring Ability for Cross-Domain Recommendation Models

no code implementations4 Nov 2023 Yanyu Chen, Yao Yao, Wai Kin Victor Chan, Li Xiao, Kai Zhang, Liang Zhang, Yun Ye

In this paper, we present a scalable and efficient paradigm to address data sparsity and cold-start issues in CDR, named CDR-Adapter, by decoupling the original recommendation model from the mapping function, without requiring re-engineering the network structure.

Recommendation Systems Transfer Learning

Learning Large-scale Location Embedding From Human Mobility Trajectories with Graphs

no code implementations23 Feb 2021 Chenyu Tian, Yuchun Zhang, Zefeng Weng, Xiusen Gu, Wai Kin Victor Chan

An increasing amount of location-based service (LBS) data is being accumulated and helps to study urban dynamics and human mobility.

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