TY - JOUR
T1 - CrowdDesigner
T2 - information-rich and personalized product description generation
AU - Zhang, Qiuyun
AU - Guo, Bin
AU - Liu, Sicong
AU - Liu, Jiaqi
AU - Yu, Zhiwen
N1 - Publisher Copyright:
© 2022, Higher Education Press.
PY - 2022/12
Y1 - 2022/12
N2 - Experimental results show that the CrowdDesigner outperforms several strong personalized product description generation methods in personal interest coverage, language organization and detailed product information. In addition, the personalized product descriptions generated from the Crowd-Designer can be used as product recommendation texts on the E-commerce web pages, product recommendation pages in mobile apps, offline electronic advertising screens and so on.
AB - Experimental results show that the CrowdDesigner outperforms several strong personalized product description generation methods in personal interest coverage, language organization and detailed product information. In addition, the personalized product descriptions generated from the Crowd-Designer can be used as product recommendation texts on the E-commerce web pages, product recommendation pages in mobile apps, offline electronic advertising screens and so on.
UR - http://www.scopus.com/inward/record.url?scp=85127460102&partnerID=8YFLogxK
U2 - 10.1007/s11704-022-1193-7
DO - 10.1007/s11704-022-1193-7
M3 - 快报
AN - SCOPUS:85127460102
SN - 2095-2228
VL - 16
JO - Frontiers of Computer Science
JF - Frontiers of Computer Science
IS - 6
M1 - 166339
ER -