128 citations · 927 across the 99 of their papers we have counts for
10 papers · 1 filter
Retrospective and Prospective Mixture-of-Generators for Task-oriented Dialogue Response Generation
Jiahuan Pei, Pengjie Ren, Christof Monz +1
Dialogue response generation (DRG) is a critical component of task-oriented dialogue systems (TDSs). Its purpose is to generate proper natural language responses given some context…
Meta Matrix Factorization for Federated Rating Predictions
Yujie Lin, Pengjie Ren, Zhumin Chen +5
Federated recommender systems have distinct advantages in terms of privacy protection over traditional recommender systems that are centralized at a data center. However, previous…
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…
Improving End-to-End Sequential Recommendations with Intent-aware Diversification
Wanyu Chen, Pengjie Ren, Fei Cai +1
Sequential Recommendation (SRs) that capture users' dynamic intents by modeling user sequential behaviors can recommend closely accurate products to users. Previous work on SRs is…
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…
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…