Paper Info
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.
Year
DOI
Venue
2013
10.1109/SMC.2013.831
Systems, Man, and Cybernetics
Keywords
Field
DocType
personalised fuzzy recommendation,2-tuple fuzzy linguistic information,furniture manufacturing smes,fuzzy multi-criteria method,furniture bundle,agent-based system,furniture product,high involvement products,individual furniture product,content-based recommendation approach,customer preference,fuzzy set theory,recommender systems,content management,multi agent systems
Recommender system,Vagueness,Information retrieval,Computer science,Fuzzy logic,Fuzzy set,Multi-agent system,Proof of concept,Purchasing,Artificial intelligence,Content management,Machine learning
Conference
ISSN
Citations 
PageRank 
1062-922X
3
0.42
References 
Authors
20
4
Name
Order
Citations
PageRank
Vassilis C. Gerogiannis13910.86
Anthony Karageorgos222924.72
Liwei Liu382.07
Christos Tjortjis417324.40