On identifying k -nearest neighbors in neighborhood models for efficient and effective collaborative filtering-Reference-Cited by-同舟云学术

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On identifying k -nearest neighbors in neighborhood models for efficient and effective collaborative filtering

Published:2018-02 Issue: Volume:278 Page:134-143
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Chae Dong-Kyu,Lee Sang-Chul,Lee Si-Yong,Kim Sang-Wook^ORCID

Funder

MSIP

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference39 articles.

1. User-adapted travel planning system for personalized schedule recommendation;Chiang;Inf. Fusion,2015

2. Top-n recommendation through belief propagation;Ha,2012

3. A survey of collaborative filtering techniques;Su;Adv. Artif. intell.,2009

4. Improving the accuracy of top-n recommendation using a preference model;Lee;Inf. Sci.,2016

5. Scalable collaborative filtering using cluster-based smoothing;Xue,2005

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