Multi-view fuzzy information fusion in collaborative filtering recommender systems: Application to the urban resilience domain

Iván Palomares, Fiona Browne, P Davis

Research output: Contribution to journalArticle

3 Citations (Scopus)
LanguageEnglish
JournalData & Knowledge Engineering
Volume1
Early online date24 Oct 2017
DOIs
Publication statusE-pub ahead of print - 24 Oct 2017

Keywords

  • Collaborative filtering recommender systems
  • Multi-view similarity information fusion
  • Fuzzy aggregation
  • Ordered weighted averaging
  • UninormUrban resilience

Cite this

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title = "Multi-view fuzzy information fusion in collaborative filtering recommender systems: Application to the urban resilience domain",
keywords = "Collaborative filtering recommender systems, Multi-view similarity information fusion, Fuzzy aggregation, Ordered weighted averaging, UninormUrban resilience",
author = "Iv{\'a}n Palomares and Fiona Browne and P Davis",
year = "2017",
month = "10",
day = "24",
doi = "10.1016/j.datak.2017.10.002",
language = "English",
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journal = "Data and Knowledge Engineering",
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AU - Palomares, Iván

AU - Browne, Fiona

AU - Davis, P

PY - 2017/10/24

Y1 - 2017/10/24

KW - Collaborative filtering recommender systems

KW - Multi-view similarity information fusion

KW - Fuzzy aggregation

KW - Ordered weighted averaging

KW - UninormUrban resilience

U2 - 10.1016/j.datak.2017.10.002

DO - 10.1016/j.datak.2017.10.002

M3 - Article

VL - 1

JO - Data and Knowledge Engineering

T2 - Data and Knowledge Engineering

JF - Data and Knowledge Engineering

SN - 0169-023X

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