activity
20182023
most citedAdvances and Challenges in Conversational Recommender Systems: A Survey

343 citations · 1.7k across the 34 of their papers we have counts for

collaborators
Showing 2020Show all

8 papers · 1 filter

cs.AI2020★ 5 cited

Generalized Relation Learning with Semantic Correlation Awareness for Link Prediction

Yao Zhang, Xu Zhang, Jun Wang +5

Developing link prediction models to automatically complete knowledge graphs has recently been the focus of significant research interest. The current methods for the link predicti…

cs.SD2020★ 23 cited

PiRhDy: Learning Pitch-, Rhythm-, and Dynamics-aware Embeddings for Symbolic Music

Hongru Liang, Wenqiang Lei, Paul Yaozhu Chan +3

Definitive embeddings remain a fundamental challenge of computational musicology for symbolic music in deep learning today. Analogous to natural language, music can be modeled as a…

cs.AI2020

GMH: A General Multi-hop Reasoning Model for KG Completion

Yao Zhang, Hongru Liang, Adam Jatowt +4

Knowledge graphs are essential for numerous downstream natural language processing applications, but are typically incomplete with many facts missing. This results in research effo…

cs.IR2020★ 161 cited

Interactive Path Reasoning on Graph for Conversational Recommendation

Wenqiang Lei, Gangyi Zhang, Xiangnan He +4

Traditional recommendation systems estimate user preference on items from past interaction history, thus suffering from the limitations of obtaining fine-grained and dynamic user p…

cs.AI2020★ 4 cited

Rethinking Dialogue State Tracking with Reasoning

Lizi Liao, Yunshan Ma, Wenqiang Lei +1

Tracking dialogue states to better interpret user goals and feed downstream policy learning is a bottleneck in dialogue management. Common practice has been to treat it as a proble…

cs.IR2020★ 97 cited

Seamlessly Unifying Attributes and Items: Conversational Recommendation for Cold-Start Users

Shijun Li, Wenqiang Lei, Qingyun Wu +3

Static recommendation methods like collaborative filtering suffer from the inherent limitation of performing real-time personalization for cold-start users. Online recommendation,…

cs.CL2020

Molweni: A Challenge Multiparty Dialogues-based Machine Reading Comprehension Dataset with Discourse Structure

Jiaqi Li, Ming Liu, Min-Yen Kan +5

Research into the area of multiparty dialog has grown considerably over recent years. We present the Molweni dataset, a machine reading comprehension (MRC) dataset with discourse s…

cs.IR2020★ 253 cited

Estimation-Action-Reflection: Towards Deep Interaction Between Conversational and Recommender Systems

Wenqiang Lei, Xiangnan He, Yisong Miao +4

Recommender systems are embracing conversational technologies to obtain user preferences dynamically, and to overcome inherent limitations of their static models. A successful Conv…