Enze Liu

Trufflehunter

2020

This paper presents and evaluates Trufflehunter, a DNS cache snooping tool for estimating the prevalence of rare and sensitive Internet applications. Unlike previous efforts that have focused on small, misconfigured open DNS resolvers, Trufflehunter models …

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 …

DeepRec: Towards a Deep Dive Into the Item Space with Large Language Model Based Recommendation

2025 · arXiv (Cornell University)

Recently, large language models (LLMs) have been introduced into recommender systems (RSs), either to enhance traditional recommendation models (TRMs) or serve as recommendation backbones. However, existing LLM-based RSs often do not fully exploit the complementary …