Kairos: Numerically Robust News Recommendation under Item Cold-Start via Cholesky-based LinUCB
Algorithmic news personalization in regional markets often fails because modern deep learning models require massive interaction data while real-world news has a short Time-to-Live (TTL<48 h) and shallow article pools. This structural item cold-start deprives collaborative filtering of the data needed for robust modeli...