Towards an Intuitionistic Fuzzy Agglomerative Hierarchical Clustering Algorithm for Music Recommendation in Folksonomy

Chun Guan; Kevin Kam Fung Yuen; Frans Coenen

doi:10.1109/SMC.2015.356

Towards an Intuitionistic Fuzzy Agglomerative Hierarchical Clustering Algorithm for Music Recommendation in Folksonomy

Chun Guan, Kevin Kam Fung Yuen, Frans Coenen

School of Advanced Technology

University of Liverpool

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

9 Citations (Scopus)

Abstract

Folksonomy, a system for social tagging or collaborative tagging, is popular in Semantic Web research. Folksonomy is applied to items, such as music pieces, which their personalized tags can be annotated by users. Recommendation systems can use these tags to produce meaningful information. Clustering methods, such as the Agglomerative Hierarchical Clustering (AHC) method, can be applied in the context of recommendation system. This paper proposes the Intuitionistic Fuzzy Agglomerative Hierarchical Clustering (IFAHC) algorithm for recommendation using social tagging. The Intuitionistic Fuzzy Set (IFS) concept is used to represent tag values which are vague and uncertain. IFAHC can cluster items represented by using IFS into different groups. The application of IFAHC to music recommendation is used to demonstrate the usability of the proposed method.

Original language	English
Title of host publication	Proceedings - 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2039-2042
Number of pages	4
ISBN (Electronic)	9781479986965
DOIs	https://doi.org/10.1109/SMC.2015.356
Publication status	Published - 12 Jan 2016
Event	IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015 - Kowloon Tong, Hong Kong Duration: 9 Oct 2015 → 12 Oct 2015

Publication series

Name	Proceedings - 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015

Conference

Conference	IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015
Country/Territory	Hong Kong
City	Kowloon Tong
Period	9/10/15 → 12/10/15

Keywords

Agglomerative Hierarchical Clustering
Folksonomy
Intuitionistic Fuzzy Set
Music Recommendation

Access to Document

10.1109/SMC.2015.356

Cite this

Guan, C., Yuen, K. K. F., & Coenen, F. (2016). Towards an Intuitionistic Fuzzy Agglomerative Hierarchical Clustering Algorithm for Music Recommendation in Folksonomy. In Proceedings - 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015 (pp. 2039-2042). Article 7379488 (Proceedings - 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SMC.2015.356

Guan, Chun ; Yuen, Kevin Kam Fung ; Coenen, Frans. / Towards an Intuitionistic Fuzzy Agglomerative Hierarchical Clustering Algorithm for Music Recommendation in Folksonomy. Proceedings - 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 2039-2042 (Proceedings - 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015).

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title = "Towards an Intuitionistic Fuzzy Agglomerative Hierarchical Clustering Algorithm for Music Recommendation in Folksonomy",

abstract = "Folksonomy, a system for social tagging or collaborative tagging, is popular in Semantic Web research. Folksonomy is applied to items, such as music pieces, which their personalized tags can be annotated by users. Recommendation systems can use these tags to produce meaningful information. Clustering methods, such as the Agglomerative Hierarchical Clustering (AHC) method, can be applied in the context of recommendation system. This paper proposes the Intuitionistic Fuzzy Agglomerative Hierarchical Clustering (IFAHC) algorithm for recommendation using social tagging. The Intuitionistic Fuzzy Set (IFS) concept is used to represent tag values which are vague and uncertain. IFAHC can cluster items represented by using IFS into different groups. The application of IFAHC to music recommendation is used to demonstrate the usability of the proposed method.",

keywords = "Agglomerative Hierarchical Clustering, Folksonomy, Intuitionistic Fuzzy Set, Music Recommendation",

author = "Chun Guan and Yuen, {Kevin Kam Fung} and Frans Coenen",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015 ; Conference date: 09-10-2015 Through 12-10-2015",

year = "2016",

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Guan, C, Yuen, KKF & Coenen, F 2016, Towards an Intuitionistic Fuzzy Agglomerative Hierarchical Clustering Algorithm for Music Recommendation in Folksonomy. in Proceedings - 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015., 7379488, Proceedings - 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015, Institute of Electrical and Electronics Engineers Inc., pp. 2039-2042, IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015, Kowloon Tong, Hong Kong, 9/10/15. https://doi.org/10.1109/SMC.2015.356

Towards an Intuitionistic Fuzzy Agglomerative Hierarchical Clustering Algorithm for Music Recommendation in Folksonomy. / Guan, Chun; Yuen, Kevin Kam Fung; Coenen, Frans.
Proceedings - 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015. Institute of Electrical and Electronics Engineers Inc., 2016. p. 2039-2042 7379488 (Proceedings - 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015).

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

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T1 - Towards an Intuitionistic Fuzzy Agglomerative Hierarchical Clustering Algorithm for Music Recommendation in Folksonomy

AU - Guan, Chun

AU - Yuen, Kevin Kam Fung

AU - Coenen, Frans

PY - 2016/1/12

Y1 - 2016/1/12

N2 - Folksonomy, a system for social tagging or collaborative tagging, is popular in Semantic Web research. Folksonomy is applied to items, such as music pieces, which their personalized tags can be annotated by users. Recommendation systems can use these tags to produce meaningful information. Clustering methods, such as the Agglomerative Hierarchical Clustering (AHC) method, can be applied in the context of recommendation system. This paper proposes the Intuitionistic Fuzzy Agglomerative Hierarchical Clustering (IFAHC) algorithm for recommendation using social tagging. The Intuitionistic Fuzzy Set (IFS) concept is used to represent tag values which are vague and uncertain. IFAHC can cluster items represented by using IFS into different groups. The application of IFAHC to music recommendation is used to demonstrate the usability of the proposed method.

AB - Folksonomy, a system for social tagging or collaborative tagging, is popular in Semantic Web research. Folksonomy is applied to items, such as music pieces, which their personalized tags can be annotated by users. Recommendation systems can use these tags to produce meaningful information. Clustering methods, such as the Agglomerative Hierarchical Clustering (AHC) method, can be applied in the context of recommendation system. This paper proposes the Intuitionistic Fuzzy Agglomerative Hierarchical Clustering (IFAHC) algorithm for recommendation using social tagging. The Intuitionistic Fuzzy Set (IFS) concept is used to represent tag values which are vague and uncertain. IFAHC can cluster items represented by using IFS into different groups. The application of IFAHC to music recommendation is used to demonstrate the usability of the proposed method.

KW - Agglomerative Hierarchical Clustering

KW - Folksonomy

KW - Intuitionistic Fuzzy Set

KW - Music Recommendation

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Guan C, Yuen KKF, Coenen F. Towards an Intuitionistic Fuzzy Agglomerative Hierarchical Clustering Algorithm for Music Recommendation in Folksonomy. In Proceedings - 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015. Institute of Electrical and Electronics Engineers Inc. 2016. p. 2039-2042. 7379488. (Proceedings - 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015). doi: 10.1109/SMC.2015.356

Towards an Intuitionistic Fuzzy Agglomerative Hierarchical Clustering Algorithm for Music Recommendation in Folksonomy

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