Contrastive Collaborative Filtering for Cold-Start Item Recommendation

1 code implementation • 4 Feb 2023 • Zhihui Zhou, Lilin Zhang, Ning Yang

To address this issue, we propose a novel model called Contrastive Collaborative Filtering for Cold-start item Recommendation (CCFCRec), which capitalizes on the co-occurrence collaborative signals in warm training data to alleviate the issue of blurry collaborative embeddings for cold-start item recommendation.

Collaborative Filtering Contrastive Learning +1