A cold-start recommendation method for We-map considering co-occurrence collaborative signals and contrastive learning,Journal of Spatial Science

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A cold-start recommendation method for We-map considering co-occurrence collaborative signals and contrastive learning
Journal of Spatial Science ( IF 1.9 ) Pub Date : 2024-03-15 , DOI: 10.1080/14498596.2024.2325344
Wenjun Ma _{1,

2,

3,

4} , Haowen Yan _{1,

2,

3} , Jingzhong Li _{1,

2,

3} , Xiaolong Wang _{5,

6} , Zhuo Wang ₇ , Qili Yang _{1,

2,

3} , Xuan Fu _{1,

2,

3}

Affiliation

We-maps, augmenting traditional maps, confront cold-start problems with prevailing recommendation techniques. The Contrastive Collaborative Filtering (CCF) model tackles We-map's cold-start issues ...

中文翻译：