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 | |
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
Fingerprint
Dive into the research topics of 'Towards a hybrid approach of Primitive Cognitive Network Process and Agglomerative Hierarchical Clustering for music recommendation'. Together they form a unique fingerprint.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