Personalised Fuzzy Recommendation for High Involvement Products

被引：7

作者：

Gerogiannis, Vassilis C. ^{[1
]}

Karageorgos, Anthony ^{[2
]}

Liu, Liwei ^{[2
]}

Tjortjis, Christos ^{[3
]}

机构：

[1] Technol Educ Inst Larissa, Dept Project Management, Larisa, Greece

[2] Univ Manchester, Manchester Business Sch, Manchester M13 9PL, Lancs, England

[3] Univ Ioannina, Dept Comp Sci, GR-45110 Ioannina, Greece

来源：

2013 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC 2013) | 2013年

关键词：

Personalised recommendation; content-based recommendation; product bundling; 2-tuple fuzzy linguistic model; similarity-degree based aggregation; high involvement products; furniture shopping; GROUP DECISION-MAKING; COLLABORATIVE RECOMMENDATION; LINGUISTIC INFORMATION; SYSTEMS; MODEL; CLASSIFICATION;

D O I：

10.1109/SMC.2013.831

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：4884 / 4890

页数：7

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