Jul 11, 2024 · Sequential recommendation models generate embeddings for items through the analysis of historical user-item interactions and utilize the ...

Dec 31, 2023 · Sequential recommendation models generate embeddings for items through the analysis of historical user-item interactions and utilize the ...

Jul 14, 2024 · This mapping is employed to generate simulated behavior sequences for cold-start users, and advanced sequential recommendation models.

Jul 10, 2024 · Create a profile to get free access to personal recommendations for colleagues and new articles. Login with ORCID. Publication data.

CMCLRec: cross-modal contrastive learning for user cold-start sequential recommendation. In Proceeding of the 47th International ACM SIGIR Conference.

Compared with conventional service provision strategies, e.g., provisioning service instances based on population density in an area, recommendation approaches ...

Sequential recommendation models generate embeddings for items performance of conventional sequential recommendation models, through the analysis of historical ...

This approach aims to solve the user cold-start problem by customizing inputs for cold-start users that align with the requirements of sequential recommendation ...

6 days ago · A curated list of resources on cold-start recommendations. - YuanchenBei/Awesome-Cold-Start-Recommendation.

2020. Cmclrec: Cross-modal contrastive learning for user cold-start sequential recommendation ... Contrastive Learning for User Cold-start Recommendation ...