Tech Xplore

Why asking people to rank three options could sharpen AI and recommendation systems

In his 1927 paper, "A law of comparative judgment," the American psychologist L. L. Thurstone proposed that when people ...
Analytics Insight

What Is an Algorithm? Meaning, Definition, and Real-World Examples

Overview: An algorithm is a step-by-step set of instructions that takes an input and produces a clear output, just like a ...
LinkedIn

Scaling LLM-Based ranking systems with SGLang at LinkedIn

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 ...
IEEE

Logits-Level Balanced Machine Unlearning for LLM-Based Recommendation System

Abstract: As recommendation systems have become foundational to digital platforms, the integration of large language models (LLMs) into these systems offers transformative potential. In LLM-based ...
GitHub

RL4RS: A Real-World Dataset for Reinforcement Learning based Recommender System

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, ...
Nature

Dual intent view contrastive learning for knowledge aware recommender systems

Knowledge-aware recommendation systems often face challenges owing to sparse supervision signals and redundant entity relations, which can diminish the advantages of utilizing knowledge graphs for ...
C&EN

Recommender Systems in Antiviral Drug Discovery

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 ...
Nature

In-memory search with learning to hash based on resistive memory for recommendation acceleration

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 ...
IEEE

Context-based Python Code Recommendation

Abstract: Code recommendation plays a crucial role in programming, assisting programmers in improving code quality, efficiency, and maintainability, thereby better addressing complex software ...
Geeky Gadgets

Best and cheapest ways to generate AI embeddings OpenAi vs free and open source

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 ...
Scientific Research Publishing

Design and Implementation of a Recommender System for Tourist Visit Management ()

Recommender systems are currently applied in many fields. They try to provide users with recommendation services based on their personalized preferences to reduce the ever increasing amount of ...