CrowdDesigner: information-rich and personalized product description generation

Qiuyun Zhang; Bin Guo; Sicong Liu; Jiaqi Liu; Zhiwen Yu

doi:10.1007/s11704-022-1193-7

CrowdDesigner: information-rich and personalized product description generation

Qiuyun Zhang
, Bin Guo
, Sicong Liu
, Jiaqi Liu
, Zhiwen Yu

School of Computer Science

Northwestern Polytechnical University Xian

Research output: Contribution to journal › Letter › peer-review

2 Scopus citations

Abstract

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.

Original language	English
Article number	166339
Journal	Frontiers of Computer Science
Volume	16
Issue number	6
DOIs	https://doi.org/10.1007/s11704-022-1193-7
State	Published - Dec 2022

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10.1007/s11704-022-1193-7

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title = "CrowdDesigner: information-rich and personalized product description generation",

abstract = "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.",

author = "Qiuyun Zhang and Bin Guo and Sicong Liu and Jiaqi Liu and Zhiwen Yu",

note = "Publisher Copyright: {\textcopyright} 2022, Higher Education Press.",

year = "2022",

month = dec,

doi = "10.1007/s11704-022-1193-7",

language = "英语",

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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

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 - https://www.scopus.com/pages/publications/85127460102

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 -

CrowdDesigner: information-rich and personalized product description generation

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