Enhanced Neighborhood-Based Filtering

Published

Oct 28, 2007

Enhanced Neighborhood-Based Filtering is an AI model developed by AT&T (United States), first published in October 2007. It works in the recommendation domain, on tasks such as recommender system.

Epoch AI has no training-compute estimate for this model. It was trained on roughly 100M datapoints.

The reference paper has 687 citations.

Full record

Organization: AT&T
Country of organization: United States
Domain: Recommendation
Task: Recommender system
Dataset size: 100M
Citations: 687