Personalised fuzzy recommendation for high involvement products

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

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-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 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
    Country/TerritoryUnited 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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