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A Novel Contextual Information Recommendation Model and Its Application in e-Commerce Customer Satisfaction Management
Joint Authors
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-04-07
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
In the current supply chain environment, distributed cognition theory tells us that various types of context information in which a recommendation is provided are important for e-commerce customer satisfaction management.
However, traditional recommendation model does not consider the distributed and differentiated impact of different contexts on user needs, and it also lacks adaptive capacity of contextual recommendation service.
Thus, a contextual information recommendation model based on distributed cognition theory is proposed.
Firstly, the model analyzes the differential impact of various sensitive contexts and specific examples on user interest and designs a user interest extraction algorithm based on distributed cognition theory.
Then, the sensitive contexts extracted from user are introduced into the process of collaborative filtering recommendation.
The model calculates similarity among user interests.
Finally, a novel collaborative filtering algorithm integrating with context and user similarity is designed.
The experimental results in e-commerce and benchmark dataset show that this model has a good ability to extract user interest and has higher recommendation accuracy compared with other methods.
American Psychological Association (APA)
Guo, Feipeng& Lu, Qibei. 2015. A Novel Contextual Information Recommendation Model and Its Application in e-Commerce Customer Satisfaction Management. Discrete Dynamics in Nature and Society،Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1060735
Modern Language Association (MLA)
Guo, Feipeng& Lu, Qibei. A Novel Contextual Information Recommendation Model and Its Application in e-Commerce Customer Satisfaction Management. Discrete Dynamics in Nature and Society No. 2015 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1060735
American Medical Association (AMA)
Guo, Feipeng& Lu, Qibei. A Novel Contextual Information Recommendation Model and Its Application in e-Commerce Customer Satisfaction Management. Discrete Dynamics in Nature and Society. 2015. Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1060735
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1060735