19/10/2020

AliMeKG: Domain knowledge graph construction and application in e-commerce

Feng-Lin Li, Hehong Chen, Guohai Xu, Tian Qiu, Feng Ji, Ji Zhang, Haiqing Chen

Keywords: e-commerce, pre-sales customer service, domain knowledge graph

Abstract Paper Similar Papers

Abstract: Pre-­sales customer service is of importance to E­-commerce plat­forms as it contributes to optimizing customers? buying process. To better serve users, we propose AliMe KG, a domain knowledge graph in E­-commerce that captures user problems, points of inter­est (POI), item information and relations thereof. It helps to under­ stand user needs, answer pre­-sales questions and generate explana­tion texts. We applied AliMe KG to several online business scenar­ios such as shopping guide, question answering over properties and selling point generation, and gained positive and beneficial business results. In the paper, we systematically introduce how we construct domain knowledge graph from free text, and demonstrate its busi­ness value with several applications. Our experience shows that min­ ing structured knowledge from free text in vertical domain is prac­ticable, and can be of substantial value in industrial settings.

The video of this talk cannot be embedded. You can watch it here:
https://dl.acm.org/doi/10.1145/3340531.3412685#sec-supp
(Link will open in new window)
 0
 0
 0
 0
  Share    
This is an embedded video. Talk and the respective paper are published at CIKM 2020 virtual conference. If you are one of the authors of the paper and want to manage your upload, see the question "My papertalk has been externally embedded..." in the FAQ section.

Comments

Post Comment
no comments yet
code of conduct: tbd Characters remaining: 140

Similar Papers

 0
 0
 0
 0
 2:46 
 0
 0
 0
 0
 14:56 
 0
 0
 0
 0
 13:50 
 0
 0
 0
 0
 16:13 
 0
 0
 0
 0
 15:44 
 0
 0
 0
 0
 8:33 
 0
 0
 0
 0
 13:53 
 0
 0
 0
 0
 14:07 
 0
 0
 0
 0
 1:40 
 0
 0
 0
 0
 9:58 
 0
 0
 0
 0
 9:39 
 0
 0
 0
 0
 5:19 
 0
 0
 0
 0
 16:20 
 0
 0
 0
 0
 12:15 
 0
 0
 0
 0
 15:43 
 0
 0
 0
 1
 12:10 
 0
 0
 0
 0
 18:02 
 0
 0
 0
 0
 19:56 
 0
 0
 0
 0
 11:21 
 0
 0
 0
 0
 7:55 
 0
 0
 0
 0
 1:59 
 0
 0
 0
 0
 9:09 
 0
 0
 0
 0
 9:49 
 0
 0
 0
 0
 18:46 
 0
 0
 0
 0
 14:48 
 0
 0
 0
 0
 14:57 
 0
 0
 0
 0
 9:43 
 0
 0
 0
 0
 14:06 
 0
 0
 0
 0
 8:51 
 0
 0
 0
 0
 17:57 
 0
 0
 0
 0
 9:44 
 0
 0
 0
 0
 9:28 
 0
 0
 0
 0
 9:57 
 0
 0
 0
 0
 15:28 
 0
 0
 0
 0
 9:51 
 0
 0
 0
 0
 14:34 
 0
 0
 0
 0
 18:05 
 0
 0
 0
 0
 19:55 
 0
 0
 0
 0
 15:24 
 0
 0
 0
 0
 7:38