activity
20182026
most citedExplainable Reasoning over Knowledge Graphs for Recommendation

80 citations · 211 across the 42 of their papers we have counts for

collaborators
Showing 2023Show all

7 papers · 1 filter

cs.IR2023★ 5 cited

LLaRA: Large Language-Recommendation Assistant

Jiayi Liao, Sihang Li, Zhengyi Yang +4

Sequential recommendation aims to predict users' next interaction with items based on their past engagement sequence. Recently, the advent of Large Language Models (LLMs) has spark…

cs.IR2023★ 6 cited

Large Language Model Can Interpret Latent Space of Sequential Recommender

Zhengyi Yang, Jiancan Wu, Yanchen Luo +5

Sequential recommendation is to predict the next item of interest for a user, based on her/his interaction history with previous items. In conventional sequential recommenders, a c…

cs.IR2023★ 15 cited

Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion

Zhengyi Yang, Jiancan Wu, Zhicai Wang +3

Sequential recommendation aims to recommend the next item that matches a user's interest, based on the sequence of items he/she interacted with before. Scrutinizing previous studie…

cs.IR2023

Model-enhanced Contrastive Reinforcement Learning for Sequential Recommendation

Chengpeng Li, Zhengyi Yang, Jizhi Zhang +4

Reinforcement learning (RL) has been widely applied in recommendation systems due to its potential in optimizing the long-term engagement of users. From the perspective of RL, reco…

cs.LG2023★ 13 cited

Understanding Contrastive Learning via Distributionally Robust Optimization

Junkang Wu, Jiawei Chen, Jiancan Wu +3

This study reveals the inherent tolerance of contrastive learning (CL) towards sampling bias, wherein negative samples may encompass similar semantics (\eg labels). However, existi…

cs.IR2023★ 5 cited

CoLLM: Integrating Collaborative Embeddings into Large Language Models for Recommendation

Yang Zhang, Fuli Feng, Jizhi Zhang +3

Leveraging Large Language Models as Recommenders (LLMRec) has gained significant attention and introduced fresh perspectives in user preference modeling. Existing LLMRec approaches…

cs.CV2023

Text-to-Image Generation for Abstract Concepts

Jiayi Liao, Xu Chen, Qiang Fu +5

Recent years have witnessed the substantial progress of large-scale models across various domains, such as natural language processing and computer vision, facilitating the express…