Tianxin Wei

Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System

2021

The general aim of the recommender system is to provide personalized suggestions to users, which is opposed to suggesting popular items. However, the normal training paradigm, i.e., fitting a recommender model to recover the user …

Causal Intervention for Leveraging Popularity Bias in Recommendation

2021

Recommender system usually faces popularity bias issues: from the data perspective, items exhibit uneven (usually long-tail) distribution on the interaction frequency; from the method perspective, collaborative filtering methods are prone to amplify the bias by …