Sept. 9, 2023, 12:31 a.m. | Dhanshree Shripad Shenwai

MarkTechPost www.marktechpost.com

The capacity to infer user preferences from past behaviors is crucial for effective personalized suggestions. The fact that many products don’t have star ratings makes this task exponentially more challenging. Past actions are generally interpreted in a binary form to indicate whether or not a user has interacted with a certain object in the past. […]


The post Apple Researchers Propose a New Tensor Decomposition Model for Collaborative Filtering with Implicit Feedback appeared first on MarkTechPost.

ai shorts apple applications artificial intelligence binary capacity collaborative collaborative filtering editors pick feedback filtering form interpreted machine learning personalized products researchers staff star tech news technology tensor

More from www.marktechpost.com / MarkTechPost

Senior AI/ML Developer

@ Lemon.io | Remote

Earthquake Forecasting Post-doc in ML at the USGS

@ U. S. Geological Survey | Remote, US

Principal Big Data Engineer

@ Kaizen Gaming | Athina, Attica, Greece

Deep Learning Engineer - Autonomous Driving (f./m./div.)

@ Bosch Group | Sequeira, Portugal

FSA (FinTech) - Quantitative Machine Learning Specialist & Software Developer

@ Deloitte | Midrand, South Africa

Data Engineer

@ ZURU | India, Ahmedabad