Nature

Collaborative Filtering Techniques in Recommender Systems

Collaborative filtering is a cornerstone of personalised recommendation, leveraging patterns of user behaviour to predict preferences. Traditional memory-based approaches compute similarities between ...
IEEE

Collaborative Filtering-Augmented Reinforcement Learning Framework for Few-Shot Inductive Learning on Temporal Knowledge Graphs

Abstract: Temporal Knowledge Graphs (TKGs) are widely acknowledged as an effective method for capturing and representing facts that evolve over time. Recent research has introduced a novel task known ...
GitHub

collaborative_filter.py

filtering model using matrix factorization (SVD via scipy). "low": {"vol_max": 0.12, "ter_max": 0.003, "size_min": 500}, "medium": {"vol_max": 0.22, "ter_max": 0.006 ...