Google’s Recommender System Breakthrough Detects Semantic Intent

Google quietly published a research paper on personalized semantics for recommender systems like Google Discover and YouTube.
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System Shock Review

Trapped in a hell he helped make, a lone hacker aboard a space station far from home sneaks and fights his way through horrible mutants and killer robots in order to take down the monstrous artificial ...
IEEE

Autoencoder-Based Recommender System Exploiting Natural Noise Removal

Abstract: Collaborative filtering (CF) is a widely used technique in recommender systems by automatically predicting the user’s latent interests based on many users’ historical rating data. To improve ...
IEEE

Lightweight Privacy-Preserving Distributed Recommender System Using Tag-Based Multikey Fully Homomorphic Data Encapsulation

Abstract: Recommender systems facilitate personalized service provision through the statistical analysis and model training of user historical data (e.g., browsing behavior, travel history, etc). To ...