Improving collaborative recommendations using vector quantization and clustering

Farsad Zamani Boroujeni; Mohammad Behnia; Simindokht Jahangard

doi:10.1007/s13278-016-0377-2

ScienceGate Book Chapters

JOURNAL ARTICLE

Improving collaborative recommendations using vector quantization and clustering

Farsad Zamani Boroujeni Mohammad Behnia Simindokht Jahangard

Year: 2016 Journal: Social Network Analysis and Mining Vol: 6 (1) Publisher: Springer Science+Business Media

DOI: 10.1007/s13278-016-0377-2

Get Full-Text PDF Get Analytical Report

Keywords:

Cluster analysis Vector quantization Computer science Quantization (signal processing) Data mining Artificial intelligence Machine learning Pattern recognition (psychology) Algorithm

Metrics

Cited By

0.66

FWCI (Field Weighted Citation Impact)

Refs

0.80

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Recommender Systems and Techniques

Physical Sciences → Computer Science → Information Systems

Image Retrieval and Classification Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Expert finding and Q&A systems

Physical Sciences → Computer Science → Information Systems

Improving collaborative recommendations using vector quantization and clustering

Metrics

Citation History

Topics

Related Documents

Speaker clustering using vector quantization and spectral clustering

Improving learning vector quantization using data reduction

Scalable Recommendations Using Clustering Based Collaborative Filtering

Improving Collaborative Filtering Recommendations Using External Data

New clustering algorithm for Vector Quantization using Slant transform