摘要
Aiming at the lack of professional knowledge to guide apparel recommendation,an apparel recommendation method based on image design expert knowledge has been proposed.Then,apparel recommendation knowledge graphs have been created and a apparel recommendation question and answer(Q&A)system has been designed and implemented.The question templates in the apparel recommendation domain were defined,the task of recognizing the named entities of question sentences was completed by the Bi-directional encoder representations from transformer-Bi-directional long short-term memory-conditional random field(BERT-BiLSTM-CRF)model,and the question template with the highest matching degree to the user’s question was obtained by using term frequency-inverse document frequency(TF-IDF)algorithm.The corresponding cypher graph database query statement was generated to retrieve the knowledge graph for answers,and iFLYTEK’s voice application programming interface(API)was called to implement the Q&A.The experimental results have shown that the Q&A system has a high accuracy rate and application value in the field of apparel recommendations.
作者
LIU Xun
SHI Youqun
LUO Xin
ZHU Guoxue
刘栒;史有群;罗辛;朱国学(College of Computer Science and Technology,Donghua University,Shanghai 201620,China;China Textile Enterprise Association,Beijing 100020,China)
作者简介
Correspondence should be addressed to LIU Xun,E-mail:862398471@qq.com。
