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Federated cross-view e-commerce recommendation based on feature rescaling. [PDF]
Li R +7 more
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Cross-border E-commerce Development Strategy Under the "Internet + Logistics Finance" Model
Zhang, Jiaqi
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packREPORT, 2021
Die Corona-Pandemie war ein weiterer Treiber: Im Jahr 2020 hat der E-Commerce deutlich gewonnen. Mehr als jeder achte Euro der Haushaltsausgaben für Waren wurden hier ausgegeben. Waren des täglichen Bedarfs entwickelten sich besonders dynamisch, so der Bundesverband E-Commerce und Versandhandel Deutschland (Bevh).
J. F. Rayport, Bernard J. Jaworski
semanticscholar +4 more sources
Die Corona-Pandemie war ein weiterer Treiber: Im Jahr 2020 hat der E-Commerce deutlich gewonnen. Mehr als jeder achte Euro der Haushaltsausgaben für Waren wurden hier ausgegeben. Waren des täglichen Bedarfs entwickelten sich besonders dynamisch, so der Bundesverband E-Commerce und Versandhandel Deutschland (Bevh).
J. F. Rayport, Bernard J. Jaworski
semanticscholar +4 more sources
2022
E-commerce is a business model that allows organizations to explore global markets. The objective of this study is to identify all the key points involved in e-commerce business, along with several sub-themes related to e-commerce, namely the concept of e-business and e-marketing. Next, it was noted that e-commerce could express the connections between
Vasco Santos +5 more
+4 more sources
E-commerce is a business model that allows organizations to explore global markets. The objective of this study is to identify all the key points involved in e-commerce business, along with several sub-themes related to e-commerce, namely the concept of e-business and e-marketing. Next, it was noted that e-commerce could express the connections between
Vasco Santos +5 more
+4 more sources
2023
The recommendation system works on an idea of suggesting or recommending items, products, books, movies, etc. by analyzing and using some filtering to find the user's interest. To maximize the growth of business and profit gain, users need to be recommended with products belonging to their area of interest.
Francisco Munoz +2 more
+4 more sources
The recommendation system works on an idea of suggesting or recommending items, products, books, movies, etc. by analyzing and using some filtering to find the user's interest. To maximize the growth of business and profit gain, users need to be recommended with products belonging to their area of interest.
Francisco Munoz +2 more
+4 more sources
China Agricultural Economic Review, 2023
PurposeThe digital economy is expected to revive the countryside and reduce the current level of urban–rural inequality. Nevertheless, whether rural e-commerce can narrow the urban–rural income gap still requires further analysis.
Yang Liu, Mingzhou Zhou
semanticscholar +1 more source
PurposeThe digital economy is expected to revive the countryside and reduce the current level of urban–rural inequality. Nevertheless, whether rural e-commerce can narrow the urban–rural income gap still requires further analysis.
Yang Liu, Mingzhou Zhou
semanticscholar +1 more source

