Personalised fuzzy recommendation for high involvement products

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

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 languageEnglish
Title of host publicationProceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013
Pages4884-4890
Number of pages7
DOIs
Publication statusPublished - 2013
Event2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013 - Manchester, United Kingdom
Duration: 13 Oct 201316 Oct 2013

Other

Other2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013
CountryUnited Kingdom
CityManchester
Period13/10/1316/10/13

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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  • Cite this

    Gerogiannis, V. C., 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 (pp. 4884-4890). [6722586] https://doi.org/10.1109/SMC.2013.831