Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Xiaoru Qu"'
Publikováno v:
Data Science and Engineering, Vol 9, Iss 3, Pp 309-324 (2024)
Abstract Personalized review generation is significant for e-commerce applications, such as providing explainable recommendation and assisting the composition of reviews. With the success of pre-trained language models (PLMs), prompt learning-based a
Externí odkaz:
https://doaj.org/article/97f9f69a39d9464e9b87b2a113f128b9
Autor:
Xiaoru Qu
Publikováno v:
The Journal of Chinese Language and Literature. 138:31-50
Publikováno v:
Neurocomputing. 461:587-597
Fraud detection is essential for e-commerce platforms to maintain a fair business environment. Many existing works propose manually designed methods such as label propagation and dense block mining rules on built user-item graphs to detect fraud beha
Autor:
Pengcheng Zou, Zhao Li, Rong Xiao, Xiaoru Qu, Jun Gao, Jiaming Huang, Jialin Wang, Ji Zhang, Zhipeng Zhang, Junxiao Jiang
Publikováno v:
CIKM
Helpful reviews in e-commerce sites can help customers acquire detailed information about a certain item, thus affecting customers' buying decisions. Predicting review helpfulness automatically in Taobao is an essential but challenging task for two r
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. :1-1
Publikováno v:
WWW
Product bundling, offering a combination of items to customers, is one of the marketing strategies commonly used in online e-commerce and offline retailers. A high-quality bundle generalizes frequent items of interest, and diversity across bundles bo