Jie Liu^a,b,c,d, Xiaodong Fu^d, Jin Liu^a,b,c, Yunchuan Sun^a,e

Intelligent Automation & Soft Computing, Vol.24, No.1, pp. 73-80, 2018, DOI:10.1080/10798587.2016.1267244

Abstract Reviews are contents written by users to express opinions on products or services. The information contained in reviews is valuable to users who are going to make decisions on products or services. However, there are numbers of reviews for popular products, and the quality of reviews is not always good. It’s necessary to pick out reviews, which are in high quality from numbers of reviews to assist user in making decision. In this paper, we collected 21,501 reviews flagged as good from 499,253 products on JD.com. We observed the level of users is an important factor affects the quality of… More >

Min Cao¹, Sijing Zhou¹, Honghao Gao^1,2,3

Intelligent Automation & Soft Computing, Vol.25, No.3, pp. 595-604, 2019, DOI:10.31209/2019.100000114

Abstract Recommender methods using reviews have become an area of active research in e-commerce systems. The use of auxiliary information in reviews as a way to effectively accommodate sparse data has been adopted in many fields, such as the product field. The existing recommendation methods using reviews typically employ aspect preference; however, the characteristics of product reviews are not considered adequate. To this end, this paper proposes a novel recommendation approach based on using product attributes to improve the efficiency of recommendation, and a hybrid collaborative filtering is presented. The product attribute model and a new recommendation ranking formula are introduced… More >

Ye Wang¹, Bixin Liu², Hongjia Wu¹, Shan Zhao¹, Zhiping Cai^{1, *}, Donghui Li^{3, *}, Cheang Chak Fong⁴

CMC-Computers, Materials & Continua, Vol.65, No.1, pp. 355-367, 2020, DOI:10.32604/cmc.2020.09835

Abstract With the continuous development of e-commerce, consumers show increasing interest in posting comments on consumption experience and quality of commodities. Meanwhile, people make purchasing decisions relying on other comments much more than ever before. So the reliability of commodity comments has a significant impact on ensuring consumers’ equity and building a fair internet-trade-environment. However, some unscrupulous online-sellers write fake praiseful reviews for themselves and malicious comments for their business counterparts to maximize their profits. Those improper ways of self-profiting have severely ruined the entire online shopping industry. Aiming to detect and prevent these deceptive comments effectively, we construct a model… More >

Shuzhen SHI^{1, 2}, Ming LIU^{1, 2}, Wenjuan MA^{1, 2}, Ya GAO^{1, 2}, Long GE³, Xiping SHEN³, Jiarui WU⁴, Junhua ZHANG^{5, *}, Jinhui TIAN^{1, 2, *}

BIOCELL, Vol.43, No.4, pp. 233-251, 2019, DOI:10.32604/biocell.2019.07624

Abstract The study aimed to analyze the reporting and methodological quality of systematic reviews (SRs)/metaanalyses (MAs) of animal models to provide references for later studies and avoid the waste of medical resources. EMBASE and MEDLINE databases were searched from inception to November 2017, with no language restriction. Two reviewers selected inclusion dependently and extracted the basic characteristics. Review Manager 5.3, stata 12.0, and SPSS 21 software were used to conduct analyses. A total of 46 SRs/MAs were included. The results showed that the English databases with high retrieval frequency are PubMed/MEDLINE, EMBASE, and Web of Science. 67.31% (31/46) of the articles… More >