HGTA: News Recommendation Based on Hierarchical Granular Semantic Embeddings and Threshold Attention
Author:
Affiliation:
1. Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center,Jinan,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10579968/10579982/10580511.pdf?arnumber=10580511
Reference25 articles.
1. Uni-FedRec: A Unified Privacy-Preserving News Recommendation Framework for Model Training and Online Serving
2. KRED: Knowledge-Aware Document Representation for News Recommendations
3. News Recommendation with Topic-Enriched Knowledge Graphs
4. HieRec: Hierarchical User Interest Modeling for Personalized News Recommendation
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