Mathematical Research Data Initiative
Main page
Recent changes
Random page
Help about MediaWiki
Create a new Item
Create a new Property
Create a new EntitySchema
Merge two items
In other projects
Discussion
View source
View history
Purge
English
Log in

A collaborative filtering framework based on both local user similarity and global user similarity

From MaRDI portal
Publication:2036263
Jump to:navigation, search

DOI10.1007/s10994-008-5068-4zbMath1464.68097OpenAlexW2079459186MaRDI QIDQ2036263

Carsten Ullrich, Changyong Niu, Heng Luo, Ruimin Shen

Publication date: 28 June 2021

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10994-008-5068-4


zbMATH Keywords

information theorysimilarity measurecollaborative filtering


Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Coding and information theory (compaction, compression, models of communication, encoding schemes, etc.) (aspects in computer science) (68P30) Information storage and retrieval of data (68P20)


Related Items

A NOVEL FUZZY-BASED SIMILARITY MEASURE FOR COLLABORATIVE FILTERING TO ALLEVIATE THE SPARSITY PROBLEM ⋮ A Content Boosted Collaborative Filtering Approach for Movie Recommendation Based on Local & Global Similarity and Missing Data Prediction



Cites Work

  • Unnamed Item
  • Unnamed Item
Retrieved from "https://portal.mardi4nfdi.de/w/index.php?title=Publication:2036263&oldid=14501383"
Tools
What links here
Related changes
Special pages
Printable version
Permanent link
Page information
MaRDI portal item
This page was last edited on 1 February 2024, at 19:58.
Privacy policy
About MaRDI portal
Disclaimers
Imprint
Powered by MediaWiki