Data Science and Management最新文献_第9页

SPAMINDEXING 2.0 : LES MOTEURS DE RECHERCHE FACE AUX DÉFIS DES IA GÉNÉRATIVES 垃圾索引2.0:搜索引擎面临生成人工智能的挑战

Data Science and Management Pub Date : 2023-01-01 DOI: 10.36863/mds.a.25052

Robert Viseur

{"title":"SPAMINDEXING 2.0 : LES MOTEURS DE RECHERCHE FACE AUX DÉFIS DES IA GÉNÉRATIVES","authors":"Robert Viseur","doi":"10.36863/mds.a.25052","DOIUrl":"https://doi.org/10.36863/mds.a.25052","url":null,"abstract":"L’importance croissante des moteurs de recherche sur les performances commerciales des entreprises a conduit au développement de techniques permettant d'optimiser le référencement des sites web (SEO). À côté des techniques encouragées par les moteurs de recherche, plus éthiques, se sont développées des techniques dites « Black Hat SEO » (BH). Régulièrement soumises aux contre-mesures des moteurs de recherche tels que Google, ces techniques ont connu un renouveau avec le développement des outils en ligne d'automatisation de tâches et des IA génératives telles que ChatGPT. Dans cette recherche exploratoire, nous proposons, après avoir présenté les techniques classiques de référencement abusif (spamindexing), l’analyse des techniques promues par un réseau de gestionnaires de sites web et de comptes de réseaux sociaux. Ces techniques sont basées sur la transformation de contenus massivement collectés en ligne à l’aide d’outils no code ou par programmation. Elles posent des questions sur le plan de la propriété intellectuelle mais aussi sur les moyens de lutte des moteurs de recherche permettant de préserver la qualité de leur index, face à la prolifération de contenus générés massivement et automatiquement, sans pour autant handicaper le développement des pratiques légitimes.","PeriodicalId":100353,"journal":{"name":"Data Science and Management","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135401359","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

IA ET SOUVERAINETÉ DES DONNÉES AGRICOLES EN AFRIQUE 非洲的人工智能和农业数据主权

Data Science and Management Pub Date : 2023-01-01 DOI: 10.36863/mds.a.25431

Jean Babei, Martial Kadji, Max Amang a Ngon, Ralph Mbagnia

引用次数: 0

LA DISTRIBUTION DIGITALISÉE À LA CROISÉE DES CHEMINS 数字化分销处于十字路口

Data Science and Management Pub Date : 2023-01-01 DOI: 10.36863/mds.a.25555

Gilles Paché

引用次数: 0

ÉTHIQUE DU DROPSHIPPING SEO À L’ÈRE DES IA GÉNÉRATIVES 生成人工智能时代的DROPSHIPPING SEO伦理

Data Science and Management Pub Date : 2023-01-01 DOI: 10.36863/mds.a.25311

Robert Viseur

引用次数: 0

REDEVABILITÉ, EXPLICABILITÉ ET TRANSPARENCE DE L’IA : UNE MISSION IMPOSSIBLE ? 人工智能的问责、解释和透明度:一个不可能完成的任务?

Data Science and Management Pub Date : 2023-01-01 DOI: 10.36863/mds.a.25083

SYLVIE GERBAIX

引用次数: 0

Assessing spread risk of COVID-19 in early 2020 2020年初评估COVID-19的传播风险

Data Science and Management Pub Date : 2022-12-01 DOI: 10.1016/j.dsm.2022.08.004

Shengjie Lai , Isaac I. Bogoch , Nick W. Ruktanonchai , Alexander Watts , Xin Lu , Weizhong Yang , Hongjie Yu , Kamran Khan , Andrew J. Tatem

{"title":"Assessing spread risk of COVID-19 in early 2020","authors":"Shengjie Lai , Isaac I. Bogoch , Nick W. Ruktanonchai , Alexander Watts , Xin Lu , Weizhong Yang , Hongjie Yu , Kamran Khan , Andrew J. Tatem","doi":"10.1016/j.dsm.2022.08.004","DOIUrl":"10.1016/j.dsm.2022.08.004","url":null,"abstract":"<div><p>A novel coronavirus emerged in late 2019, named as the coronavirus disease 2019 (COVID-19) by the World Health Organization (WHO). This study was originally conducted in January 2020 to estimate the potential risk and geographic range of COVID-19 spread at the early stage of the transmission. A series of connectivity and risk analyses based on domestic and international travel networks were conducted using historical aggregated mobile phone data and air passenger itinerary data. We found that the cordon sanitaire of the primary city was likely to have occurred during the latter stages of peak population numbers leaving the city, with travellers departing into neighbouring cities and other megacities in China. We estimated that there were 59,912 international air passengers, of which 834 (95% uncertainty interval: 478–1,349) had COVID-19 infection, with a strong correlation seen between the predicted risks of importation and the number of imported cases found. Given the limited understanding of emerging infectious diseases in the very early stages of outbreaks, our approaches and findings in assessing travel patterns and risk of transmission can help guide public health preparedness and intervention design for new COVID-19 waves caused by variants of concern and future pandemics to effectively limit transmission beyond its initial extent.</p></div>","PeriodicalId":100353,"journal":{"name":"Data Science and Management","volume":"5 4","pages":"Pages 212-218"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666764922000340/pdfft?md5=a48e2e7bc12044a09382b68edcb847d2&pid=1-s2.0-S2666764922000340-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79326169","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 14

Analysis of commodity traceability service effects on the purchase behavior of consumers using an evolutionary game model 用演化博弈模型分析商品可追溯服务对消费者购买行为的影响

Data Science and Management Pub Date : 2022-12-01 DOI: 10.1016/j.dsm.2022.08.003

Jingyang Liu , Shizhong Ai , Rong Du , Cathal M. Brugha

{"title":"Analysis of commodity traceability service effects on the purchase behavior of consumers using an evolutionary game model","authors":"Jingyang Liu , Shizhong Ai , Rong Du , Cathal M. Brugha","doi":"10.1016/j.dsm.2022.08.003","DOIUrl":"10.1016/j.dsm.2022.08.003","url":null,"abstract":"<div><p>Blockchain-based commodity traceability is an emerging technology developed in recent years; it plays a vital role in monitoring product quality and responding to product safety problems. Considering the perceived value of product traceability for consumers and the cost of using blockchain technology, determining whether merchants adopt blockchain-based commodity traceability technology deserves attention. Based on the information asymmetry between consumers and merchants, this paper establishes a two-party evolutionary game model to understand whether merchants enable the commodity traceability function and whether consumers choose to be involved in the commodity traceability relationship based on the Foote, Cone, and Belding grid theory. The model explores the influence boundary of merchants enabling the commodity traceability function for consumers with different degrees of involvement in purchasing behavior. The results show that traceability cost, consumer involvement, commodity price, and the value-added traceability nature of different commodities affect the evolution results. These results indicate that businesses need to constantly reduce the cost of traceability to improve consumer involvement and the perceived value of commodity traceability. Businesses must identify consumers with different involvement levels, and commodities with different traceability levels should provide targeted services for consumers and commodities.</p></div>","PeriodicalId":100353,"journal":{"name":"Data Science and Management","volume":"5 4","pages":"Pages 175-186"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666764922000339/pdfft?md5=1e2dbfeacadd651e244697ca88d31cc5&pid=1-s2.0-S2666764922000339-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74983402","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Effective arithmetic optimization algorithm with probabilistic search strategy for function optimization problems 基于概率搜索策略的函数优化问题的有效算法

Data Science and Management Pub Date : 2022-12-01 DOI: 10.1016/j.dsm.2022.08.002

Lu Peng , Chaohao Sun , Wenli Wu

引用次数: 9

China futures price forecasting based on online search and information transfer 基于网上搜索和信息传递的中国期货价格预测

Data Science and Management Pub Date : 2022-12-01 DOI: 10.1016/j.dsm.2022.09.002

Jingyi Liang, Guozhu Jia

{"title":"China futures price forecasting based on online search and information transfer","authors":"Jingyi Liang, Guozhu Jia","doi":"10.1016/j.dsm.2022.09.002","DOIUrl":"10.1016/j.dsm.2022.09.002","url":null,"abstract":"<div><p>The synchronicity effect between the financial market and online response for time-series forecasting is an important task with wide applications. This study combines data from the Baidu index (BDI), Google trends (GT), and transfer entropy (TE) to forecast a wide range of futures prices with a focus on China. A forecasting model based on a hybrid gray wolf optimizer (GWO), convolutional neural network (CNN), and long short-term memory (LSTM) is developed. First, Baidu and Google dual-platform search data were selected and constructed as Internet-based consumer price index (ICPI) using principal component analysis. Second, TE is used to quantify the information between online behavior and futures markets. Finally, the effective Internet-based consumer price index (ICPI) and TE are introduced into the GWO-CNN-LSTM model to forecast the daily prices of corn, soybean, polyvinyl chloride (PVC), egg, and rebar futures. The results show that the GWO-CNN-LSTM model has a significant improvement in predicting future prices. Internet-based CPI built on Baidu and Google platforms has a high degree of real-time performance and reduces the platform and language bias of the search data. Our proposed framework can provide predictive decision support for government leaders, market investors, and production activities.</p></div>","PeriodicalId":100353,"journal":{"name":"Data Science and Management","volume":"5 4","pages":"Pages 187-198"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666764922000376/pdfft?md5=700142358e5a3516b1d3f96c23074de9&pid=1-s2.0-S2666764922000376-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80013768","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 14

ACR-MLM: a privacy-preserving framework for anonymous and confidential rewarding in blockchain-based multi-level marketing ACR-MLM:基于区块链的多层次营销中匿名和保密奖励的隐私保护框架

Data Science and Management Pub Date : 2022-12-01 DOI: 10.1016/j.dsm.2022.09.003

Saeed Banaeian Far , Azadeh Imani Rad , Maryam Rajabzadeh Asaar

{"title":"ACR-MLM: a privacy-preserving framework for anonymous and confidential rewarding in blockchain-based multi-level marketing","authors":"Saeed Banaeian Far , Azadeh Imani Rad , Maryam Rajabzadeh Asaar","doi":"10.1016/j.dsm.2022.09.003","DOIUrl":"10.1016/j.dsm.2022.09.003","url":null,"abstract":"<div><p>Network marketing is a trading technique that provides companies with the opportunity to increase sales. With the increasing number of Internet-based purchases, several threats are increasingly observed in this field, such as user privacy violations, company owner (CO) fraud, the changing of sold products’ information, and the scalability of selling networks. This study presents the concept of a blockchain-based market called ACR-MLM that functions based on the multi-level marketing (MLM) model, through which registered users receive anonymous and confidential rewards for their own and their subgroups’ sales. Applying a public blockchain as the ACR-MLM framework’s infrastructure solves existing problems in MLM-based markets, such as CO fraud (against the government or its users), user privacy violations (obtaining their real names or subgroup users), and scalability (when vast numbers of users have been registered). To provide confidentiality and scalability to the ACR-MLM framework, hierarchical identity-based encryption (HIBE) was applied with a functional encryption (FE) scheme. Finally, the security of ACR-MLM is analyzed using the random oracle (RO) model and then evaluated.</p></div>","PeriodicalId":100353,"journal":{"name":"Data Science and Management","volume":"5 4","pages":"Pages 219-231"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666764922000388/pdfft?md5=446295a2eaf0eb9cec41954416bb906d&pid=1-s2.0-S2666764922000388-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77262685","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4