activity
20182022
most citedLearning Intents behind Interactions with Knowledge Graph for Recommendation

579 citations · 1k across the 22 of their papers we have counts for

collaborators

28 papers

cs.MM20226 cited

FakeSV: A Multimodal Benchmark with Rich Social Context for Fake News Detection on Short Video Platforms

Peng Qi, Yuyan Bu, Juan Cao +5

Short video platforms have become an important channel for news sharing, but also a new breeding ground for fake news. To mitigate this problem, research of fake news video detecti…

cs.CL2022

ConReader: Exploring Implicit Relations in Contracts for Contract Clause Extraction

Weiwen Xu, Yang Deng, Wenqiang Lei +3

We study automatic Contract Clause Extraction (CCE) by modeling implicit relations in legal contracts. Existing CCE methods mostly treat contracts as plain text, creating a substan…

cs.IR202261 cited

User-controllable Recommendation Against Filter Bubbles

Wenjie Wang, Fuli Feng, Liqiang Nie +1

Recommender systems usually face the issue of filter bubbles: overrecommending homogeneous items based on user features and historical interactions. Filter bubbles will grow along…

cs.LG202258 cited

Reinforced Causal Explainer for Graph Neural Networks

Xiang Wang, Yingxin Wu, An Zhang +3

Explainability is crucial for probing graph neural networks (GNNs), answering questions like "Why the GNN model makes a certain prediction?". Feature attribution is a prevalent tec…

cs.IR20229 cited

A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systems

Yang Deng, Wenxuan Zhang, Weiwen Xu +3

Recent years witnessed several advances in developing multi-goal conversational recommender systems (MG-CRS) that can proactively attract users' interests and naturally lead user-e…

cs.IR20229 cited

Interacting with Non-Cooperative User: A New Paradigm for Proactive Dialogue Policy

Wenqiang Lei, Yao Zhang, Feifan Song +5

Proactive dialogue system is able to lead the conversation to a goal topic and has advantaged potential in bargain, persuasion and negotiation. Current corpus-based learning manner…