An Efficient Similarity Measure for User-Based Collaborative Filtering Recommender Systems Inspired by the Physical Resonance Principle

An Efficient Similarity Measure for User-Based Collaborative Filtering Recommender Systems Inspired by the Physical Resonance Principle

User-based collaborative filtering is an important technique used in collaborative filtering recommender systems to recommend items based on the opinions of like-minded nearby users, where similarity computation is the critical component. Traditional similarity measures, such as Pearson's corre...

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Bibliographic Details
Main Authors: Zhenhua Tan, Liangliang He
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
User-based collaborative filtering
recommender system
similarity measure
RES
Online Access:https://ieeexplore.ieee.org/document/8123927/

Internet

https://ieeexplore.ieee.org/document/8123927/

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