Zihan Lin

Enhancing Sequential Recommender with Large Language Models for Joint Video and Comment Recommendation

2024 · arXiv (Cornell University)

Nowadays, reading or writing comments on captivating videos has emerged as a critical part of the viewing experience on online video platforms. However, existing recommender systems primarily focus on users' interaction behaviors with videos, neglecting …

RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms

2021

In recent years, there are a large number of recommendation algorithms proposed in the literature, from traditional collaborative filtering to deep learning algorithms. However, the concerns about how to standardize open source implementation of recommendation …

Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning

2022 · Proceedings of the ACM Web Conference 2022

Recently, graph collaborative filtering methods have been proposed as an effective recommendation approach, which can capture users’ preference over items by modeling the user-item interaction graphs. Despite the effectiveness, these methods suffer from data sparsity …