English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

The construction of regional electronic commerce large data analysis platform is studied. First, the collaborative filtering algorithm is focused on the further elaboration. According to the demand of the recommendation system of the electronic commerce large data analysis platform of a certain agricultural product, the most core part of the recommendation system is realized and the collaborative filtering algorithm is improved emphatically. Based on the large user behavior data accumulated by the regional e-commerce platform, by mining the user’s implicit evaluation of the merchandise, the sparsity of the scoring matrix is reduced, and the recommended effect of the algorithm is improved. The experimental results show that the improved algorithm can improve the efficiency and accuracy of the data processing of the regional electronic Commerce large data analysis platform.

RETRACTED ARTICLE: Research on the construction of regional electronic commerce large data analysis platform