Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China最新文献_第8页

Research on the Influence Mechanism of Text Emotion on Willingness to Cooperate Based on Computer Communication 基于计算机通信的文本情感对合作意愿的影响机制研究

Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China Pub Date : 1900-01-01 DOI: 10.4108/eai.17-6-2022.2322627

Jinru Zhong, Xu Yang, Siwei Cao, Yuting Gao

{"title":"Research on the Influence Mechanism of Text Emotion on Willingness to Cooperate Based on Computer Communication","authors":"Jinru Zhong, Xu Yang, Siwei Cao, Yuting Gao","doi":"10.4108/eai.17-6-2022.2322627","DOIUrl":"https://doi.org/10.4108/eai.17-6-2022.2322627","url":null,"abstract":"- Under the background of normalization of epidemic prevention and control, how to achieve effective cooperation in a remote office is an urgent problem for organizations. Online communication mainly uses text as the medium. Besides expressing meaning, text also contains the emotions of the transmitter, which has an important impact on the communication and cooperation between two parties. This study starts with the Emotions as Social Information theory (EASI theory) and explores the influence mechanism of emotions of texts on individuals' willingness to cooperate. The results of the experimental study (n=203) found that individuals have higher social perception of the sender of positive texts (i.e. perception of their warmth and competence), so they are more willing to cooperate with them. And social perception plays a partial mediating role in text emotion and willingness to cooperate. The results of this paper reveal the internal mechanism of text emotion promoting cooperation willingness in remote cooperation and provide a new perspective on how to improve cooperation willingness.","PeriodicalId":156653,"journal":{"name":"Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133204271","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

Robust Recommendation Algorithm Based on User Suspicious Probability and Item Weight 基于用户怀疑概率和项目权重的鲁棒推荐算法

Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China Pub Date : 1900-01-01 DOI: 10.4108/eai.17-6-2022.2322755

Haihong Gao, Li Liu, Wenguang Zheng

{"title":"Robust Recommendation Algorithm Based on User Suspicious Probability and Item Weight","authors":"Haihong Gao, Li Liu, Wenguang Zheng","doi":"10.4108/eai.17-6-2022.2322755","DOIUrl":"https://doi.org/10.4108/eai.17-6-2022.2322755","url":null,"abstract":": With the extensive development of recommendation technology, the threat of shilling attacks faced by the existing collaborative recommendation algorithms is also increasing sharply. To face more and more complex shilling attacks, this paper constructs a robust recommendation algorithm that can resist shilling attacks from the perspective of recommendation algorithm. Existing robust recommendation algorithms usually improve robustness by sacrificing some recommendation accuracy and reduce the recommendation accuracy. To solve this problem, this paper proposes a robust recommendation algorithm based on user suspicious probability and item weight. Firstly, we establish the relevance vector machine classifier according to user profile features to evaluate user suspicious probability in the database. Secondly, we construct singular value decomposition algorithm based on Hebbian learning and matrix factorization algorithm by integrating user suspicion information. Finally, a dynamic weighting scheme is used in combination with the above algorithm and the collaborative filtering algorithm based on item weight, and the above algorithms are mixed according to a certain weight to obtain a robust collaborative filtering algorithm SRICF. By adjusting the weight ratio, advantages of each algorithm are brought into play, thereby improving recommendation accuracy and robustness of the algorithm. Experimental results show that our algorithm has good prediction accuracy and robustness compared with other single algorithms.","PeriodicalId":156653,"journal":{"name":"Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133379987","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

The Impact of Live Streaming Shopping on Luxury Cosmetic Brand Consumer Decision Making Process in the Internet Economy —— Chinese Young Female Consumers 网络经济下在线购物对奢侈化妆品品牌消费者决策过程的影响——中国年轻女性消费者

Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China Pub Date : 1900-01-01 DOI: 10.4108/eai.17-6-2022.2322691

Yiqi Yu

{"title":"The Impact of Live Streaming Shopping on Luxury Cosmetic Brand Consumer Decision Making Process in the Internet Economy —— Chinese Young Female Consumers","authors":"Yiqi Yu","doi":"10.4108/eai.17-6-2022.2322691","DOIUrl":"https://doi.org/10.4108/eai.17-6-2022.2322691","url":null,"abstract":"— Live streaming is a relatively new business model, which allows vendors to face and interact with consumers in real-time directly. Live streaming has continued to increase rapidly in recent years in China. There are still limited studies on live streaming towards the consumer decision-making process. This study focuses on the consumer decision process in live streaming commerce. An online survey was implemented, and 200 responses were collected. In this study using the structural equation modelling, the results indicate that the perceived benefits of watching live streaming positively correlate with willingness to buy online. In addition, there is a positive relationship between positive electronic word of mouth (eWOM) and willingness to buy online. These two parts of the discussion are appropriate to live streaming strategy and positive eWOM. Furthermore, this paper finally provides some managerial and practical findings based on our findings. By examining live streaming on consumer purchase behaviour, this study enriches the theoretical understanding of live streaming in e-commerce.","PeriodicalId":156653,"journal":{"name":"Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133131850","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

Research on the Upgrading Path of Consumption Structure of Rural Residents in Qingyuan Based on ELES Model- Under the Background of Rural Revitalization 基于ELES模型的清远市农村居民消费结构升级路径研究——乡村振兴背景下

Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China Pub Date : 1900-01-01 DOI: 10.4108/eai.17-6-2022.2322761

Yuzhen Zeng

引用次数: 0

The Influence of Contextual Clues on Consumers’ Attitudes towards Products 语境线索对消费者对产品态度的影响

Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China Pub Date : 1900-01-01 DOI: 10.4108/eai.17-6-2022.2322593

Chunhua Sun, Pengzhen Li

引用次数: 0

Construction and Application of Precision Marketing System of E-commerce Platform under the Background of Big Data 大数据背景下电商平台精准营销系统的构建与应用

Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China Pub Date : 1900-01-01 DOI: 10.4108/eai.17-6-2022.2322716

Yuan Wang

{"title":"Construction and Application of Precision Marketing System of E-commerce Platform under the Background of Big Data","authors":"Yuan Wang","doi":"10.4108/eai.17-6-2022.2322716","DOIUrl":"https://doi.org/10.4108/eai.17-6-2022.2322716","url":null,"abstract":": In order to promote the vigorous development of China's Internet industry e-commerce market, help e-commerce enterprises to use big data technology to operate scientifically, so that e-commerce enterprises can achieve sustainable development, gain more profits and more room for growth, and build an accurate marketing system of e-commerce platform. This system uses Python web crawler technology to obtain information data, and carries out data analysis on Hadoop platform. Combined with tableau data visualization technology, it intuitively presents the data required by e-commerce enterprises. Big data precision marketing system can help e-commerce enterprise managers to judge customers' psychology and behavior, understand customers' needs and consumption preferences, and accurately analyze the traffic volume and transaction volume data generated by new and old consumers in different preferential means and different periods to improve user loyalty. So as to increase the user return rate, stabilize the existing user base, improve the marketing plan of enterprises, improve the sales performance of enterprises, and help enterprises obtain more ideal economic benefits.","PeriodicalId":156653,"journal":{"name":"Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122539649","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

Game Development with Python Using Pygame 使用Pygame开发Python游戏

Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China Pub Date : 1900-01-01 DOI: 10.4108/eai.17-6-2022.2322877

Boyao Song

引用次数: 0

Research on the Construction of Social Governance Intelligent System in the Era of Big Data 大数据时代社会治理智能体系构建研究

Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China Pub Date : 1900-01-01 DOI: 10.4108/eai.17-6-2022.2322622

Yuchun Li

引用次数: 0

Analysis of Smart Elderly Care Services Model Based on Smart City Theory——Taking the Smart Elderly Care Service in Harbin as An Example 基于智慧城市理论的智慧养老服务模式分析——以哈尔滨市智慧养老服务为例

Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China Pub Date : 1900-01-01 DOI: 10.4108/eai.17-6-2022.2322667

Wenfeng Che, Bingkun Li

引用次数: 0

Research On Factors Influencing the Efficiency of Agricultural Science and Technology Innovation 影响农业科技创新效率的因素研究

Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China Pub Date : 1900-01-01 DOI: 10.4108/eai.17-6-2022.2322808

Wei-Min Lin, Chenghua Liu, Mei Li

引用次数: 0