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 Tools annual

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 monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

Personalized recommender systems are increasingly important as more contentand services become available and users struggle to identify what mightinterest them. Thanks to the ability for providing rich information, knowledgegraphs (KGs) are being incorporated to enhance the recommendation performanceand interpretability. To effectively make use of the knowledge graph, wepropose a recommendation model in the hyperbolic space, which facilitates thelearning of the hierarchical structure of knowledge graphs. Furthermore, ahyperbolic attention network is employed to determine the relative importancesof neighboring entities of a certain item. In addition, we propose an adaptiveand fine-grained regularization mechanism to adaptively regularize items andtheir neighboring representations. Via a comparison using three real-worlddatasets with state-of-the-art methods, we show that the proposed modeloutperforms the best existing models by 2-16% in terms of NDCG@K on Top-Krecommendation.

Knowledge-Enhanced Top-K Recommendation in Poincar\'e Ball