This repository explores how well a Biased Latent Matrix Factorization (BLMF) recommender system performs when trained on extremely sparse rating matrices, using a reduced sample of the MovieLens 32M ...

LinkedIn's algorithm has changed, making old tactics obsolete. Align your profile with content topics. Prioritize "saves" as the key engagement metric by creating valuable, referenceable content. Post ...

What is conversational pace? Here’s what this running speed actually is – and why it’s hugely beneficial Is 10,000 steps still the best daily fitness target? We explain why less is more and that speed ...

Abstract: With the advancement of modern radar systems, there are increasingly stringent requirements for reconstructing Inverse Synthetic Aperture Radar (ISAR) images from gap missing sampling (GMS) ...

Rose Hammond pushed authorities for years to lower the 55 mph speed limit on a two-lane road that passes her assisted living community, a church, two schools and a busy park that hosts numerous youth ...

Collaborative filtering generates recommendations by exploiting user-item similarities based on rating data, which often contains numerous unrated items. To predict scores for unrated items, matrix ...

Singapore-based AI startup Sapient Intelligence has developed a new AI architecture that can match, and in some cases vastly outperform, large language models (LLMs) on complex reasoning tasks, all ...

Portland is a city known for being home to many people living a vegan lifestyle. Now there’s a new restaurant to fit right in. The joint is located in a somewhat remote spot of North Portland, ...

If the words “my pleasure” came to mind, you’d be on the right track. Georgia-based Chick-fil-A, with a score of 83 out of 100, just came in first place for customer satisfaction among quick-service ...

Imagine a computer that does not rely only on electronics but uses light to perform tasks faster and more efficiently. A collaboration between two research teams from Tampere University in Finland and ...