{"title":"The Design of Employment Recommendation System for College Students Based on Bilateral Matching Decision","authors":"Xiaohan Zhang","doi":"10.1145/3584748.3584801","DOIUrl":"https://doi.org/10.1145/3584748.3584801","url":null,"abstract":"This paper studies the bilateral matching problem between recruiting companies and college students, designs a single-objective matching model, and studies the optimal matching decision-making method based on college students' employment. It provides a way of thinking to promote the stable and effective matching of employment subjects, and on this basis, through in-depth analysis and research on the current recommendation technology and application, combined with the current deep learning technology, a college student employment based on deep neural network is proposed. Recommend an algorithm and verify the algorithm with an example.","PeriodicalId":241758,"journal":{"name":"Proceedings of the 2022 5th International Conference on E-Business, Information Management and Computer Science","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130393173","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}
{"title":"Design of online course management system based on Python","authors":"Ting Li","doi":"10.1145/3584748.3584783","DOIUrl":"https://doi.org/10.1145/3584748.3584783","url":null,"abstract":"With the continuous progress and development of Internet technology, computer information management technology is also developing continuously, and all walks of life have developed their own management systems. The course management system uses educational technology and network technology to realize the online release of course resources, which is convenient for students to learn and assist teachers in teaching. The development of the visual programming environment based on Python language in this paper has gone through three stages: system requirements analysis, structure and coding design, detailed design and implementation of each module, and realized a complete and standardized course management system based on project teaching.","PeriodicalId":241758,"journal":{"name":"Proceedings of the 2022 5th International Conference on E-Business, Information Management and Computer Science","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134352259","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}
{"title":"Research on Consumer Channel Choice Behavior in Dual-channel Green Supply Chain Based on Structural Equation Modeling","authors":"Hui Ye, Xiaolan Hu, Meiping Xie","doi":"10.1145/3584748.3584785","DOIUrl":"https://doi.org/10.1145/3584748.3584785","url":null,"abstract":"Channel competition behavior can be negative, can also be positive. Active competition can promote the participants in the supply chain to improve the cooperation enthusiasm of each other and strive to carry out enterprise activities for the common interests. This article analyzes the channel choice behavior of consumers in the dual-channel green supply chain based on 15 indicators of the dimension of customer value creation. Structural equation modeling was used to analyze the influence path coefficient of 15 integration factors on channel selection. This article aims to explore the relationship between channel integration elements and channel selection behavior based on the background of green demand, so as to provide a basis for the integrated decision-making mechanism of dual-channel green supply chain.","PeriodicalId":241758,"journal":{"name":"Proceedings of the 2022 5th International Conference on E-Business, Information Management and Computer Science","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134053232","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}
Limei Zhao, Wenjue Zhu, Yingxian Li, Zhiwei Fang, Kai Liu
{"title":"Prediction of car license auction prices using an LSTM neural network for Guangzhou, Shenzhen, Hangzhou, and Tianjin","authors":"Limei Zhao, Wenjue Zhu, Yingxian Li, Zhiwei Fang, Kai Liu","doi":"10.1145/3584748.3584800","DOIUrl":"https://doi.org/10.1145/3584748.3584800","url":null,"abstract":"Car license auction price prediction has been identified as a novel practical problem in the economics field for several large Chinese cities. However, making predictions based on the corresponding time-series data is generally regarded as challenging due to the noise and volatility of car license auctions. The prediction capacity of the time-series model is likely to decay over time. Long short-term memory (LSTM) is regarded as a powerful approach for the price prediction of time series. Here, we build LSTM models for predicting the average price of car licenses auctioned in Guangzhou, Shenzhen, Hangzhou, and Tianjin using LSTM neural networks. Our LSTM neural network based on a time series is constructed considering the time characteristics, cities, license quotas, lagged lowest price, lagged average price, price announcements of license auctions, and short-term price trends. We propose a dynamic leave-one-out cross-validation method to address the difficulty in time-series prediction.. The optimal models achieve suitably accurate performance; the average prediction errors of car license auctions are found to 861.71 CNY, 1648.57 CNY, 689.29 CNY, and 689.29 CNY for Guangzhou, Shenzhen, Hangzhou, and Tianjin, respectively.","PeriodicalId":241758,"journal":{"name":"Proceedings of the 2022 5th International Conference on E-Business, Information Management and Computer Science","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132910825","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}
{"title":"Research on the Correlation between the Digitalization Level of Manufacturing Enterprises and Enterprise Value","authors":"Aixi Li, Junya Li","doi":"10.1145/3584748.3584762","DOIUrl":"https://doi.org/10.1145/3584748.3584762","url":null,"abstract":"This paper uses the Stata16.0 software tool and uses the relevant data of the 2013-2020 company annual reports, financial statement notes, organizational governance structure and other related data of manufacturing listed companies that come from the RESSET financial research database and CSMAR to analyze and research the relationship between the level of digitalization of manufacturing enterprises and the value of enterprises. The research results show that the level of hardware digitalization in the manufacturing industry has an inhibitory effect on enterprise value, and the level of software digitalization and digital talents in manufacturing enterprises can promote the improvement of enterprise value. These conclusions provide useful advice and valuable experience for the manufacturing industry that receive a new upgrade with the help of digital technology to promote sustainable development of enterprises.","PeriodicalId":241758,"journal":{"name":"Proceedings of the 2022 5th International Conference on E-Business, Information Management and Computer Science","volume":"245 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114191442","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}
{"title":"Research on Empirical analysis of the influencing factors of commercial banks' profit model under the background of Interest Rate Liberalization","authors":"Song Yi","doi":"10.1145/3584748.3584771","DOIUrl":"https://doi.org/10.1145/3584748.3584771","url":null,"abstract":"This paper takes the influencing factors of commercial banks' profit model under the background of interest rate liberalization as the main research line.It analyzes the main influencing factors of the profit model of my country's commercial banks, and uses the data of 4 state-controlled commercial banks and 6 joint-stock commercial banks to empirically test the main influencing factors of my country's commercial banks' profit model under the background of interest rate liberalization.The research shows that the top six factors that affect the profitability of commercial banks are net interest margin, asset quality, cost-to-income ratio, risk tolerance, financial innovation, and loan-to-deposit ratio, while the scale of bank assets has the lowest contribution to profitability. In order to improve the profitability of commercial banks, it is necessary to strengthen financial innovation capabilities, prevent and control commercial bank risks, and improve the financial supervision system.","PeriodicalId":241758,"journal":{"name":"Proceedings of the 2022 5th International Conference on E-Business, Information Management and Computer Science","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124141367","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}
{"title":"Spearman correlation data analysis of domestic residents' per capita disposable income and domestic tourism per capita consumption","authors":"Cheng-li Ni, Zhou Ling","doi":"10.1145/3584748.3584797","DOIUrl":"https://doi.org/10.1145/3584748.3584797","url":null,"abstract":"Tourism consumption can not only meet the tourism needs of domestic residents but also is the driving force of the tourism economy. There is a subtle relationship between income and consumption. Affected by the epidemic, the consumption concepts and behaviors of domestic residents have changed. This paper collects the data of per capita disposable income of domestic residents and per capita consumption of tourism, the spearman correlation coefficient to analyze the correlation between per capita disposable income and tourism consumption, and proposes to improve the consumer confidence index through the normalized management of the epidemic, the integration of artificial intelligence and cultural tourism, the improvement of the quality of tourist attractions, the support of government financial policies, and the improvement of social security system under the background of the epidemic, thereby achieving a recovery in the tourism industry.","PeriodicalId":241758,"journal":{"name":"Proceedings of the 2022 5th International Conference on E-Business, Information Management and Computer Science","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124984552","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}
{"title":"Application Analysis of Forecasting Model Based on BP Neural Network Algorithm","authors":"Zhao Xu","doi":"10.1145/3584748.3584811","DOIUrl":"https://doi.org/10.1145/3584748.3584811","url":null,"abstract":"With the development of big data technology, the hotel industry has also entered the era of big data. The imbalance between supply and demand in the hotel industry will directly affect the hotel's operating conditions. This paper uses the BP neural network algorithm to predict the hotel's demand analysis and reservation rate, and establishes a prediction model based on the BP neural network algorithm through the two variables of reservation time and consumption time. Investors can make better decisions, thereby increasing hotel revenue.","PeriodicalId":241758,"journal":{"name":"Proceedings of the 2022 5th International Conference on E-Business, Information Management and Computer Science","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123422250","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}
Min Chen, Wang Zhichuan, Haoyu Zhu, Jingyi Xia, Xiaoguang Yue
{"title":"Research on System Dynamics of Agricultural Products Supply Chain Based on Data Simulation","authors":"Min Chen, Wang Zhichuan, Haoyu Zhu, Jingyi Xia, Xiaoguang Yue","doi":"10.1145/3584748.3584758","DOIUrl":"https://doi.org/10.1145/3584748.3584758","url":null,"abstract":"To explore the risks and opportunities brought by the development and utilization of big data to the supply chain of agricultural products. In this paper, the impact factors of three dimensions: supply risk, production management risk and market risk are selected, and on the basis of questionnaire survey, SPSS is used to test the reliability and validity, and the inclusion is constructed Big data analysis of sales data, analysis of big data warehousing and distribution data, and system dynamics model of agricultural product supply chain under big data distribution. And through the simulation of the system dynamics model, it is finally concluded that in terms of promoting the wide application of big data technology, it is of great significance to strengthen the development and utilization of the big data platform for warehousing and distribution, and to make full use of it in the supply and production management links.","PeriodicalId":241758,"journal":{"name":"Proceedings of the 2022 5th International Conference on E-Business, Information Management and Computer Science","volume":"84 11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127978125","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}
{"title":"Design and implementation of big data platform based on data mining timing","authors":"Qin Xiaofang","doi":"10.1145/3584748.3584802","DOIUrl":"https://doi.org/10.1145/3584748.3584802","url":null,"abstract":"The traditional collaborative filtering algorithm is improved, and an improved collaborative filtering algorithm is proposed. Through comparative analysis, it is obtained that the new collaborative filtering algorithm has higher recommendation accuracy and a good speed-up ratio, and the larger the data set, the more its advantages are reflected, and it has good scalability. In addition, through supply and demand analysis, a big data platform based on data mining technology is established, and users can quickly complete the mining and analysis work for large data sets based on this platform.","PeriodicalId":241758,"journal":{"name":"Proceedings of the 2022 5th International Conference on E-Business, Information Management and Computer Science","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129942268","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}