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 |
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Title of host publication | Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013 |
Pages | 4884-4890 |
Number of pages | 7 |
DOIs | |
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 |
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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