95 citations · 181 across the 23 of their papers we have counts for
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cs.IR2022★ 2 cited
Unintended Bias in Language Model-driven Conversational Recommendation
Tianshu Shen, Jiaru Li, Mohamed Reda Bouadjenek +2
Conversational Recommendation Systems (CRSs) have recently started to leverage pretrained language models (LM) such as BERT for their ability to semantically interpret a wide range…
cs.IR2020
Attentive Autoencoders for Multifaceted Preference Learning in One-class Collaborative Filtering
Zheda Mai, Ga Wu, Kai Luo +1
Most existing One-Class Collaborative Filtering (OC-CF) algorithms estimate a user's preference as a latent vector by encoding their historical interactions. However, users often s…
cs.IR2020★ 2 cited
Noise Contrastive Estimation for Autoencoding-based One-Class Collaborative Filtering
Jin Peng Zhou, Ga Wu, Zheda Mai +1
One-class collaborative filtering (OC-CF) is a common class of recommendation problem where only the positive class is explicitly observed (e.g., purchases, clicks). Autoencoder ba…