Clustering and Analysis of Rural E-commerce Live Broadcast Mode Based on Data Orientation

Abstract The rapid development of network technology has revolutionized information dissemination and made it possible for various new communication channels to gradually seep into people’s daily lives. The primary task within the context of new media is the creation of agricultural products live e-...

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Main Author: Hua Tian
Format: Article
Language:English
Published: Springer 2023-05-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Online Access:https://doi.org/10.1007/s44196-023-00269-8
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author Hua Tian
author_facet Hua Tian
author_sort Hua Tian
collection DOAJ
description Abstract The rapid development of network technology has revolutionized information dissemination and made it possible for various new communication channels to gradually seep into people’s daily lives. The primary task within the context of new media is the creation of agricultural products live e-commerce. This study first analyses and categorizes the preferences of product purchasers using a collaborative filtering process in order to achieve this. It then suggests a clustering algorithm based on ROCK that improves the link rather than the previously used distance as a criterion for cluster split and can successfully address the problem of data scarcity based on collaborative suggestion. The difficulties of live e-commerce entrepreneurship and the need of fostering new farmers’ live e-commerce entrepreneurship skills are also discussed in this essay. The case study illustrates that the research’s strategy can successfully examine the path towards developing new farmers’ live e-commerce skills.
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spelling doaj.art-c83bf7b5af7948d6acea604b947fb4cd2023-05-28T11:27:17ZengSpringerInternational Journal of Computational Intelligence Systems1875-68832023-05-0116111010.1007/s44196-023-00269-8Clustering and Analysis of Rural E-commerce Live Broadcast Mode Based on Data OrientationHua Tian0Business School of Hunan International Economics UniversityAbstract The rapid development of network technology has revolutionized information dissemination and made it possible for various new communication channels to gradually seep into people’s daily lives. The primary task within the context of new media is the creation of agricultural products live e-commerce. This study first analyses and categorizes the preferences of product purchasers using a collaborative filtering process in order to achieve this. It then suggests a clustering algorithm based on ROCK that improves the link rather than the previously used distance as a criterion for cluster split and can successfully address the problem of data scarcity based on collaborative suggestion. The difficulties of live e-commerce entrepreneurship and the need of fostering new farmers’ live e-commerce entrepreneurship skills are also discussed in this essay. The case study illustrates that the research’s strategy can successfully examine the path towards developing new farmers’ live e-commerce skills.https://doi.org/10.1007/s44196-023-00269-8Network technologyAgricultural productsE-commerceProduct purchasersFarmers’ live
spellingShingle Hua Tian
Clustering and Analysis of Rural E-commerce Live Broadcast Mode Based on Data Orientation
International Journal of Computational Intelligence Systems
Network technology
Agricultural products
E-commerce
Product purchasers
Farmers’ live
title Clustering and Analysis of Rural E-commerce Live Broadcast Mode Based on Data Orientation
title_full Clustering and Analysis of Rural E-commerce Live Broadcast Mode Based on Data Orientation
title_fullStr Clustering and Analysis of Rural E-commerce Live Broadcast Mode Based on Data Orientation
title_full_unstemmed Clustering and Analysis of Rural E-commerce Live Broadcast Mode Based on Data Orientation
title_short Clustering and Analysis of Rural E-commerce Live Broadcast Mode Based on Data Orientation
title_sort clustering and analysis of rural e commerce live broadcast mode based on data orientation
topic Network technology
Agricultural products
E-commerce
Product purchasers
Farmers’ live
url https://doi.org/10.1007/s44196-023-00269-8
work_keys_str_mv AT huatian clusteringandanalysisofruralecommercelivebroadcastmodebasedondataorientation