Litcius/Paper detail

AliMeKG

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

202060 citationsDOIOpen Access PDF

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.

Topics & Concepts

Computer scienceConstruct (python library)GraphDomain knowledgeDomain (mathematical analysis)Knowledge graphKnowledge managementPoint (geometry)Business domainValue (mathematics)Business valueCustomer serviceKnowledge engineeringBusiness processGraph theoryService (business)Data scienceInformation systemInformation retrievalService providerQuestion answeringTopic ModelingAdvanced Graph Neural NetworksRecommender Systems and Techniques