The LinkedIn Feed serves more than 1.3 billion professionals, each on a unique career journey. Whether members are building their brand, sharing expertise, exploring new ideas, or learning from ...

At LinkedIn, we've been leveraging large language models (LLMs) to transform the search experience, launching AI Job Search and AI-powered People Search in the last year, and more broadly reimagining ...

RL4RS is a real-world deep reinforcement learning recommender system dataset for practitioners and researchers. 09/02/2022: We release RL4RS v1.1.0. 1) two additional RS datasets for comparison, ...

Multimodal large language models (MLLMs) have demonstrated remarkable superiority in various vision-language tasks due to their unparalleled cross-modal comprehension capabilities and extensive world ...

The Hebrew University of Jerusalem was founded in 1918, 30 years before the state of Israel itself was established. It is the second oldest institution in the country, and is known as HUJI. It counts ...

Center for Computational and Data-Intensive Science and Engineering, Skolkovo Institute of Science and Technology, Bolshoy Boulevard 30/1, Moscow 143026, Russia Syntelly LLC, Skolkovo Innovation ...

Similarity search is essential in current artificial intelligence applications and widely utilized in various fields, such as recommender systems. However, the exponential growth of data poses ...

If you are interested in learning more about AI embedding is and how they can be used, this guide aims to provide a comprehensive yet concise overview of AI embeddings, their applications, and how to ...

BIRCH is an alternative to MinibatchKMeans and is designed for large datasets. The algorithm converts data into a tree structure, facilitating efficient clustering. Clustering is the process of ...

Bayesian Personalized Ranking (BPR) [1] is a recommender systems algorithm that can be used to personalize the experience of a user on a movie rental service, an online book store, a retail store and ...