Research of personalized recommender system in M-commerce: A cognitive-style approach based on FD/I

With the development and penetration of mobile devices, the opportunity for M-Commerce has opened. Compared with case-based reasoning and collaborative filtering, few take the cognitive style into account when designing personalized recommender system. A domain and feedback-based FD/I calculator alg...

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Bibliographic Details
Published in2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems Vol. 3; pp. 1362 - 1366
Main Authors Weizhi Gong, Huiyao An, Jianhong Xu, Hao Wang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2012
Subjects
Bismuth
Business
Cognition
cognitive style
Collaboration
Context
FD/I
M-commerce
personalized recommendation
Recommender systems
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Summary:With the development and penetration of mobile devices, the opportunity for M-Commerce has opened. Compared with case-based reasoning and collaborative filtering, few take the cognitive style into account when designing personalized recommender system. A domain and feedback-based FD/I calculator algorithm was proposed to address the using condition issues and FD/I evaluation problems. Experimental study shows that the users' FD/I degree can be evaluated transparently and the quality of personalized-recommendation has been promoted in terms of both contents and form of presentations.
ISSN:2376-5933
2376-595X
DOI:10.1109/CCIS.2012.6664608