DocumentCode
3563936
Title
Word-of-mouth recommender system using preference extraction based on IEC
Author
Shimazaki, Jun ; Obo, Takenori ; Kubota, Naoyuki
Author_Institution
Dept. of Syst. Design, Tokyo Metropolitan Univ., Hino, Japan
fYear
2014
Firstpage
930
Lastpage
935
Abstract
In this paper, we deal with a word-of-mouth recommender system with a human-friendly robot. First, we explain the background of conventional recommendation systems, and we discuss the availability of smart devices and robot partners for information support. Next, we describe the issues caused in the conventional recommendation method, and propose propose a word-of-mouth recommender system. Furthermore, we propose a preference extraction technique based on interactive evolutionary computation. Finally, we show preliminary experimental results and comparison results using the proposed method, and discuss the effectiveness of word-of-mouth recommender system.
Keywords
evolutionary computation; human-robot interaction; interactive systems; recommender systems; IEC; human-friendly robot; information support; interactive evolutionary computation; preference extraction; preference extraction technique; robot partners; smart devices; word-of-mouth recommender system; Collaboration; Communities; IEC; Recommender systems; Robots; Senior citizens; Vectors; IEC; IGA; Interactive evolutionally computing; Recommender Systems; Word-of-mouth communication;
fLanguage
English
Publisher
ieee
Conference_Titel
Soft Computing and Intelligent Systems (SCIS), 2014 Joint 7th International Conference on and Advanced Intelligent Systems (ISIS), 15th International Symposium on
Type
conf
DOI
10.1109/SCIS-ISIS.2014.7044892
Filename
7044892
Link To Document