activity
20192026
most citedImproving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion

17 citations · 17 across the 5 of their papers we have counts for

collaborators

5 papers

cs.GR2026

DesignAsCode: Bridging Structural Editability and Visual Fidelity in Graphic Design Generation

Ziyuan Liu, Shizhao Sun, Danqing Huang +5

Graphic design generation demands a delicate balance between high visual fidelity and fine-grained structural editability. However, existing approaches typically bifurcate into eit…

cs.IR2025

DMGIN: How Multimodal LLMs Enhance Large Recommendation Models for Lifelong User Post-click Behaviors

Zhuoxing Wei, Qingchen Xie, Qi Liu

Modeling user interest based on lifelong user behavior sequences is crucial for enhancing Click-Through Rate (CTR) prediction. However, long post-click behavior sequences themselve…

cs.CL2020★ 17 cited

Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion

Kun Zhou, Wayne Xin Zhao, Shuqing Bian +3

Conversational recommender systems (CRS) aim to recommend high-quality items to users through interactive conversations. Although several efforts have been made for CRS, two major…

cs.CL2020

Improving Multi-Turn Response Selection Models with Complementary Last-Utterance Selection by Instance Weighting

Kun Zhou, Wayne Xin Zhao, Yutao Zhu +2

Open-domain retrieval-based dialogue systems require a considerable amount of training data to learn their parameters. However, in practice, the negative samples of training data a…

cs.CL2019

Unsupervised Context Rewriting for Open Domain Conversation

Kun Zhou, Kai Zhang, Yu Wu +2

Context modeling has a pivotal role in open domain conversation. Existing works either use heuristic methods or jointly learn context modeling and response generation with an encod…