Personalised fuzzy recommendation for high involvement products

Vassilis C. Gerogiannis; Anthony Karageorgos; Liwei Liu; Christos Tjortjis

doi:10.1109/SMC.2013.831

Personalised fuzzy recommendation for high involvement products

Vassilis C. Gerogiannis
, Anthony Karageorgos
, Liwei Liu
, Christos Tjortjis

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

Abstract

In this paper we introduce a content-based recommendation approach for assisting buyers of high involvement products with their purchasing choice. The approach incorporates a group-based, fuzzy multi-criteria method and provides personalized recommendation to end-users of e-Furniture. E-Furniture is an agent-based system that offers decision making and process networking solutions to furniture manufacturing SMEs. Two are the main characteristics of the proposed approach: (i) it handles vagueness in customer preferences and seller evaluations on furniture products by utilizing the 2-tuple fuzzy linguistic information processing model and ii) it follows a similarity degree-based aggregation technique to derive an objective assessment for furniture bundles and individual furniture products that can match the customer preferences. A numerical example is given as a proof of concept, to demonstrate the applicability of the approach for providing recommendations to customers.

Original language	English
Title of host publication	Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013
Pages	4884-4890
Number of pages	7
DOIs	https://doi.org/10.1109/SMC.2013.831
Publication status	Published - 2013
Event	2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013 - Manchester, United Kingdom Duration: 13 Oct 2013 → 16 Oct 2013

Other

Other	2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013
Country/Territory	United Kingdom
City	Manchester
Period	13/10/13 → 16/10/13

Keywords

2-tuple fuzzy linguistic model
Content-based recommendation
Furniture shopping
High involvement products
Personalised recommendation
Product bundling
Similarity-degree based aggregation

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10.1109/SMC.2013.831

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title = "Personalised fuzzy recommendation for high involvement products",

abstract = "In this paper we introduce a content-based recommendation approach for assisting buyers of high involvement products with their purchasing choice. The approach incorporates a group-based, fuzzy multi-criteria method and provides personalized recommendation to end-users of e-Furniture. E-Furniture is an agent-based system that offers decision making and process networking solutions to furniture manufacturing SMEs. Two are the main characteristics of the proposed approach: (i) it handles vagueness in customer preferences and seller evaluations on furniture products by utilizing the 2-tuple fuzzy linguistic information processing model and ii) it follows a similarity degree-based aggregation technique to derive an objective assessment for furniture bundles and individual furniture products that can match the customer preferences. A numerical example is given as a proof of concept, to demonstrate the applicability of the approach for providing recommendations to customers.",

keywords = "2-tuple fuzzy linguistic model, Content-based recommendation, Furniture shopping, High involvement products, Personalised recommendation, Product bundling, Similarity-degree based aggregation",

author = "Gerogiannis, \{Vassilis C.\} and Anthony Karageorgos and Liwei Liu and Christos Tjortjis",

year = "2013",

doi = "10.1109/SMC.2013.831",

language = "English",

isbn = "9780769551548",

pages = "4884--4890",

booktitle = "Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013",

note = "2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013 ; Conference date: 13-10-2013 Through 16-10-2013",

}

Gerogiannis, VC, Karageorgos, A, Liu, L & Tjortjis, C 2013, Personalised fuzzy recommendation for high involvement products. in Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013., 6722586, pp. 4884-4890, 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013, Manchester, United Kingdom, 13/10/13. https://doi.org/10.1109/SMC.2013.831

TY - GEN

T1 - Personalised fuzzy recommendation for high involvement products

AU - Gerogiannis, Vassilis C.

AU - Karageorgos, Anthony

AU - Liu, Liwei

AU - Tjortjis, Christos

PY - 2013

Y1 - 2013

N2 - In this paper we introduce a content-based recommendation approach for assisting buyers of high involvement products with their purchasing choice. The approach incorporates a group-based, fuzzy multi-criteria method and provides personalized recommendation to end-users of e-Furniture. E-Furniture is an agent-based system that offers decision making and process networking solutions to furniture manufacturing SMEs. Two are the main characteristics of the proposed approach: (i) it handles vagueness in customer preferences and seller evaluations on furniture products by utilizing the 2-tuple fuzzy linguistic information processing model and ii) it follows a similarity degree-based aggregation technique to derive an objective assessment for furniture bundles and individual furniture products that can match the customer preferences. A numerical example is given as a proof of concept, to demonstrate the applicability of the approach for providing recommendations to customers.

AB - In this paper we introduce a content-based recommendation approach for assisting buyers of high involvement products with their purchasing choice. The approach incorporates a group-based, fuzzy multi-criteria method and provides personalized recommendation to end-users of e-Furniture. E-Furniture is an agent-based system that offers decision making and process networking solutions to furniture manufacturing SMEs. Two are the main characteristics of the proposed approach: (i) it handles vagueness in customer preferences and seller evaluations on furniture products by utilizing the 2-tuple fuzzy linguistic information processing model and ii) it follows a similarity degree-based aggregation technique to derive an objective assessment for furniture bundles and individual furniture products that can match the customer preferences. A numerical example is given as a proof of concept, to demonstrate the applicability of the approach for providing recommendations to customers.

KW - 2-tuple fuzzy linguistic model

KW - Content-based recommendation

KW - Furniture shopping

KW - High involvement products

KW - Personalised recommendation

KW - Product bundling

KW - Similarity-degree based aggregation

UR - https://www.scopus.com/pages/publications/84893560716

U2 - 10.1109/SMC.2013.831

DO - 10.1109/SMC.2013.831

M3 - Conference contribution

AN - SCOPUS:84893560716

SN - 9780769551548

SP - 4884

EP - 4890

BT - Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013

T2 - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013

Y2 - 13 October 2013 through 16 October 2013

ER -

Personalised fuzzy recommendation for high involvement products

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