Towards a hybrid approach of Primitive Cognitive Network Process and Agglomerative Hierarchical Clustering for music recommendation

Chun Guan; Kevin Kam Fung Yuen

doi:10.4108/eai.19-8-2015.2261344

Towards a hybrid approach of Primitive Cognitive Network Process and Agglomerative Hierarchical Clustering for music recommendation

Chun Guan, Kevin Kam Fung Yuen

School of Advanced Technology

University of Liverpool

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

3 Citations (Scopus)

Abstract

Clustering algorithms have been used in many real world applications including recommendation systems. This paper proposes PCNP-AHC, which is a hybrid approach of Primitive Cognitive Network Process (PCNP) and Agglomerative Hierarchical Clustering (AHC) to cluster music pieces on the basis of user's preferences and similarities between music pieces. PCNP is an ideal alternative of Analytic Hierarchy Process (AHP) to quantify weights of attributes which are used in clustering process. The application of PCNP-AHC for music recommendation is demonstrated.

Original language	English
Title of host publication	Proceedings of the 11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QSHINE 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	206-209
Number of pages	4
ISBN (Electronic)	9781631900631
DOIs	https://doi.org/10.4108/eai.19-8-2015.2261344
Publication status	Published - 19 Nov 2015
Event	11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QSHINE 2015 - Taipei, Taiwan, Province of China Duration: 19 Aug 2015 → 20 Aug 2015

Publication series

Name	Proceedings of the 11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QSHINE 2015

Conference

Conference	11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QSHINE 2015
Country/Territory	Taiwan, Province of China
City	Taipei
Period	19/08/15 → 20/08/15

Keywords

Hierarchical clustering
Primitive Cognitive Network Process
recommendation system

Access to Document

10.4108/eai.19-8-2015.2261344

Cite this

Guan, C., & Yuen, K. K. F. (2015). Towards a hybrid approach of Primitive Cognitive Network Process and Agglomerative Hierarchical Clustering for music recommendation. In Proceedings of the 11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QSHINE 2015 (pp. 206-209). Article 7332569 (Proceedings of the 11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QSHINE 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.4108/eai.19-8-2015.2261344

Guan, Chun ; Yuen, Kevin Kam Fung. / Towards a hybrid approach of Primitive Cognitive Network Process and Agglomerative Hierarchical Clustering for music recommendation. Proceedings of the 11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QSHINE 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 206-209 (Proceedings of the 11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QSHINE 2015).

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title = "Towards a hybrid approach of Primitive Cognitive Network Process and Agglomerative Hierarchical Clustering for music recommendation",

abstract = "Clustering algorithms have been used in many real world applications including recommendation systems. This paper proposes PCNP-AHC, which is a hybrid approach of Primitive Cognitive Network Process (PCNP) and Agglomerative Hierarchical Clustering (AHC) to cluster music pieces on the basis of user's preferences and similarities between music pieces. PCNP is an ideal alternative of Analytic Hierarchy Process (AHP) to quantify weights of attributes which are used in clustering process. The application of PCNP-AHC for music recommendation is demonstrated.",

keywords = "Hierarchical clustering, Primitive Cognitive Network Process, recommendation system",

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Guan, C & Yuen, KKF 2015, Towards a hybrid approach of Primitive Cognitive Network Process and Agglomerative Hierarchical Clustering for music recommendation. in Proceedings of the 11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QSHINE 2015., 7332569, Proceedings of the 11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QSHINE 2015, Institute of Electrical and Electronics Engineers Inc., pp. 206-209, 11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QSHINE 2015, Taipei, Taiwan, Province of China, 19/08/15. https://doi.org/10.4108/eai.19-8-2015.2261344

Towards a hybrid approach of Primitive Cognitive Network Process and Agglomerative Hierarchical Clustering for music recommendation. / Guan, Chun; Yuen, Kevin Kam Fung.
Proceedings of the 11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QSHINE 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 206-209 7332569 (Proceedings of the 11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QSHINE 2015).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

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T1 - Towards a hybrid approach of Primitive Cognitive Network Process and Agglomerative Hierarchical Clustering for music recommendation

AU - Guan, Chun

AU - Yuen, Kevin Kam Fung

PY - 2015/11/19

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N2 - Clustering algorithms have been used in many real world applications including recommendation systems. This paper proposes PCNP-AHC, which is a hybrid approach of Primitive Cognitive Network Process (PCNP) and Agglomerative Hierarchical Clustering (AHC) to cluster music pieces on the basis of user's preferences and similarities between music pieces. PCNP is an ideal alternative of Analytic Hierarchy Process (AHP) to quantify weights of attributes which are used in clustering process. The application of PCNP-AHC for music recommendation is demonstrated.

AB - Clustering algorithms have been used in many real world applications including recommendation systems. This paper proposes PCNP-AHC, which is a hybrid approach of Primitive Cognitive Network Process (PCNP) and Agglomerative Hierarchical Clustering (AHC) to cluster music pieces on the basis of user's preferences and similarities between music pieces. PCNP is an ideal alternative of Analytic Hierarchy Process (AHP) to quantify weights of attributes which are used in clustering process. The application of PCNP-AHC for music recommendation is demonstrated.

KW - Hierarchical clustering

KW - Primitive Cognitive Network Process

KW - recommendation system

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BT - Proceedings of the 11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QSHINE 2015

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QSHINE 2015

Y2 - 19 August 2015 through 20 August 2015

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Guan C, Yuen KKF. Towards a hybrid approach of Primitive Cognitive Network Process and Agglomerative Hierarchical Clustering for music recommendation. In Proceedings of the 11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QSHINE 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 206-209. 7332569. (Proceedings of the 11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QSHINE 2015). doi: 10.4108/eai.19-8-2015.2261344

Towards a hybrid approach of Primitive Cognitive Network Process and Agglomerative Hierarchical Clustering for music recommendation

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