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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/

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An artificial immunity-based discovery method for popular information is proposed. Principles of evolution and concentration of antibodies in artificial immune system are simulated. Key words in web pages are extracted and simulated as antibody and antigen. Antibodies are evolved and excreted dynamically. Concentration of antibodies is computed to attain accurately the degree of popular measurement in quantity. The proposed method improves the intelligent degree of information discovery and provides a new way to discover WEB information.

Artificial Immunity-Based Discovery for Popular Information in WEB Pages