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Long-Tail Recommendations in Recommender Systems by sheyan.yu2002 is a document available to read on EtoBox.
What is Long-Tail Recommendations in Recommender Systems about?
This document discusses a novel approach to improving long-tail recommendations in recommender systems by repurposing existing models to reduce popularity bias and enhance exposure for underrepresented publishers. The authors conducted large-scale online experiments demonstrating the effectiveness of their method in achieving equitable content distribution while maintaining recommendation quality. Key contributions include the development of an Inverse Retrieval model and the application of system-level fai
- Author
- sheyan.yu2002
- Language
- EN