POOLSIDE: An Online Probabilistic Knowledge Base for Shopping Decision Support

被引：2
|
作者：
Zhong, Ping [1 ]
Li, Zhanhuai [1 ]
Chen, Qun [1 ]
Wang, Yanyan [1 ]
Wang, Lianping [1 ]
Ahmed, Murtadha H. M. [1 ]
Fan, Fengfeng [1 ]
机构：
[1] Northwestern Polytech Univ, Sch Comp Sci, 127 West Youyi Rd, Xian 710072, Peoples R China
来源：
CIKM'17: PROCEEDINGS OF THE 2017 ACM CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT | 2017年
关键词：
knowledge base; decision support system; markov logic network;
D O I：
10.1145/3132847.3133168
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
We present POOLSIDE, an online PrObabilistic knOwLedge base for ShoppIng DEcision support, that provides with the on-target recommendation service based on explicit user requirement. With a natural language interface, POOLSIDE can answer question in realtime. We present how to construct the knowledge base and how to enable real-time response in POOLSIDE. Finally, we demonstrate that Poolside can give high-quality product recommendations with high efficiency.(The demo video can be accessed via the link:https: //www.youtube.com/watch?v=D8ALi1lCUcc)
引用
收藏
页码：2559 / 2562
页数：4
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