Business Wire

Rubber Ducky Labs Raises $1.5 Million to Build Operational Analytics for Recommender Systems

SAN FRANCISCO--(BUSINESS WIRE)--Rubber Ducky Labs, a company dedicated to making recommender systems easier to build and imbue with human knowledge, today announces $1.5 million seed investment round ...
Nature

Enhancing Intelligent HVAC optimization with graph attention networks and stacking ensemble learning, a recommender system approach in Shenzhen Qianhai Smart Community

This study details the design and implementation of an intelligent HVAC optimization system in the Shenzhen Qianhai Smart Community, utilizing advanced machine learning methods like Graph Attention ...
Nature

Active learning algorithm for alleviating the user cold start problem of recommender systems

A key challenge in recommender systems is how to profile new users. A popular solution for this problem is to use active learning strategies. These strategies request ratings for a small set of ...
Searchenginejournal.com

How To Build A Recommender System With TF-IDF And NMF (Python)

Topic clusters and recommender systems can help SEO experts to build a scalable internal linking architecture. And as we know, internal linking can impact both user experience and search rankings.