most citedToward a Better Understanding of Loss Functions for Collaborative Filtering

13 citations · 15 across the 2 of their papers we have counts for

collaborators

2 papers

cs.IR2023★ 13 cited

Toward a Better Understanding of Loss Functions for Collaborative Filtering

Seongmin Park, Mincheol Yoon, Jae-woong Lee +2

Collaborative filtering (CF) is a pivotal technique in modern recommender systems. The learning process of CF models typically consists of three components: interaction encoder, lo…

cs.IR2023★ 2 cited

uCTRL: Unbiased Contrastive Representation Learning via Alignment and Uniformity for Collaborative Filtering

Jae-woong Lee, Seongmin Park, Mincheol Yoon +1

Because implicit user feedback for the collaborative filtering (CF) models is biased toward popular items, CF models tend to yield recommendation lists with popularity bias. Previo…