most citedA Multimodal Single-Branch Embedding Network for Recommendation in Cold-Start and Missing Modality Scenarios

2 citations · 2 across the 1 of their papers we have counts for

collaborators

1 paper

cs.IR2024★ 2 cited

A Multimodal Single-Branch Embedding Network for Recommendation in Cold-Start and Missing Modality Scenarios

Christian Ganhör, Marta Moscati, Anna Hausberger +2

Most recommender systems adopt collaborative filtering (CF) and provide recommendations based on past collective interactions. Therefore, the performance of CF algorithms degrades…