activity
20172026
most citedOn the User Behavior Leakage from Recommender System Exposure

39 citations · 116 across the 19 of their papers we have counts for

collaborators
Showing 2019Show all

5 papers · 1 filter

cs.CL2019

EmpDG: Multiresolution Interactive Empathetic Dialogue Generation

Qintong Li, Hongshen Chen, Zhaochun Ren +3

A humanized dialogue system is expected to generate empathetic replies, which should be sensitive to the users' expressed emotion. The task of empathetic dialogue generation is pro…

cs.IR2019

Parallel Split-Join Networks for Shared-account Cross-domain Sequential Recommendations

Wenchao Sun, Muyang Ma, Pengjie Ren +5

Sequential recommendation is a task in which one models and uses sequential information about user behavior for recommendation purposes. We study sequential recommendation in a par…

cs.IR2019

Improving Outfit Recommendation with Co-supervision of Fashion Generation

Yujie Lin, Pengjie Ren, Zhumin Chen +3

The task of fashion recommendation includes two main challenges: visual understanding and visual matching. Visual understanding aims to extract effective visual features. Visual ma…

cs.CL2019

Thinking Globally, Acting Locally: Distantly Supervised Global-to-Local Knowledge Selection for Background Based Conversation

Pengjie Ren, Zhumin Chen, Christof Monz +2

Background Based Conversations (BBCs) have been introduced to help conversational systems avoid generating overly generic responses. In a BBC, the conversation is grounded in a kno…

cs.CL2019

RefNet: A Reference-aware Network for Background Based Conversation

Chuan Meng, Pengjie Ren, Zhumin Chen +3

Existing conversational systems tend to generate generic responses. Recently, Background Based Conversations (BBCs) have been introduced to address this issue. Here, the generated…