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 Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

The establishment of trust-relationships, in a sense, averts the potential dangers which caused by the aimless interaction between entities. This paper proposes the technical route and the complete prediction model for the dynamic trust-relationships prediction aims at the limitation of historical evidence and the dynamic nature of trust-relationships. This model can do screening for malicious recommendation and wrong recommendation, and encourage or punish the historical trust degree by means of fuzzy weight, fully reflect the importance of weight upon the dynamic nature of the model and the essential characteristics of trust-relationships between entities. This model, whose algorithm bears better convergence and expansibility, does not possess complicate computation.

The Prediction Model of Dynamic Trust Relationship based on the Influence of Fuzzy Weight