Fei Jiang

Aligning Explanations for Recommendation with Rating and Feature via Maximizing Mutual Information

2024 · arXiv (Cornell University)

Providing natural language-based explanations to justify recommendations helps to improve users' satisfaction and gain users' trust. However, as current explanation generation methods are commonly trained with an objective to mimic existing user reviews, the generated …

Spectral collaborative filtering

2018

Despite the popularity of Collaborative Filtering (CF), CF-based methods are haunted by the cold-start problem, which has a significantly negative impact on users' experiences with Recommender Systems (RS). In this paper, to overcome the aforementioned …