Ant Collaborative Filtering Addressing Sparsity and Temporal Effects

Ant Collaborative Filtering Addressing Sparsity and Temporal Effects

Though collaborative filtering (CF) is a popular and successful recommendation technique, it still suffers from the data sparsity and users' evolving taste over time. This paper presents a new collaborative filtering scheme: the Ant Collaborative Filtering. With the mechanism of pheromone trans...

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Bibliographic Details
Main Authors: Xiaofeng Liao, Hu Wu, Yongji Wang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Ant collaborative filtering
ant colony optimization
collaborative filtering
recommender systems
Online Access:https://ieeexplore.ieee.org/document/8999524/

Internet

https://ieeexplore.ieee.org/document/8999524/

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