.png){kind=icon}
返回
Knowledge Graph-Enhanced Sampling for Conversational Recommendation System
.png){kind=icon}
PRE
AI
DOI：10.1109/TKDE.2022.3185154.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
The traditional recommendation systems mainly use offline user data to train offline models, and then recommend items for online users, thus suffering from the unreliable estimation of user preferences based on sparse and noisy historical data. Conversational Recommendation System(CRS) uses the interactive form of the dialogue systems to solve the intrinsic problems of traditional recommendation systems. However, due to the lack of contextual information modeling, the existing CRS models are unable to deal with the exploitation and exploration(E & E) problem well, resulting in the heavy burden on users. To address the aforementioned issue, this work proposes a contextual information enhancement model tailored for CRS, called Knowledge Graph-enhanced Sampling(KGenSam). KGenSam integrates the dynamic graph of user interaction data with the external knowledge into one heterogeneous Knowledge Graph(KG) as the contextual information environment. Then, two samplers are designed to enhance knowledge by sampling fuzzy samples with high uncertainty for obtaining user preferences and reliable negative samples for updating recommender to achieve efficient acquisition of user preferences and model updating, and thus provide a powerful solution for CRS to deal with E & E problem. Experimental results on two real-world datasets demonstrate the superiority of KGenSam with significant improvements over state-of-the-art methods.
Keyword:
Conversational recommendation system
knowledge graph
negative sampling
active learning
reinforcement learning
期刊
IF:
10.4
论文数:
6.8K
被引数:
3.2W
机构
引用论文
Conjugated heat transfer and temperature distributions in a gas turbine combustion liner under base-load operation基本负荷运行下燃气轮机燃烧衬里中的共轭传热和温度分布
PREAI
分享收藏Seed Dispersal by Cassowaries (Casuarius casuarius) in North Queensland's Rainforests.png)
Biotropica
BiotropicaIF0
PREAI
分享收藏分享收藏分享收藏
查看更多内容