Nursing homes (NHs) using the Preferences for Everyday Living Inventory (PELI-NH) to assess important preferences and provide person-centered care find the number of items to be a barrier to using the ...

apply (recsys) focuses on the specific challenges of building recommender systems and will cover best practice development patterns, tools of choice and emerging architectures to successfully build ...

Every time a streaming service suggests a film, an online shop pushes a product, or a news feed surfaces a story, an ...

Every time a new user signs up for a streaming platform or opens a shopping app for the first time, the algorithms behind the ...

Ecommerce recommender systems are machine-learning algorithms that suggest products to a specific consumer or groups of consumers. The algorithms use historical data — purchases, search history, ...

Google Discover is largely a mystery to publishers and the search marketing community even though Google has published official guidance about what it is and what they feel publishers should know ...