A preference elicitation method based on bipartite graphical correlation and implicit trust-Reference-Cited by-同舟云学术

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A preference elicitation method based on bipartite graphical correlation and implicit trust

Published:2017-05 Issue: Volume:237 Page:92-100
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Gao Quanli,Gao Ling,Fan Jianping,Ren Jie

Funder

NSAS research program of NorthWest University in China

National Science Foundation of China

pH. D Programs Foundation of Ministry for Education of China

ShaanXi Provincial Natural Science Foundation of China

Foundation of ShaanXi Educational Committee

Foundation of ShaanXi Science Innovation

Foundation of 2013 Science Research of ShaanXi Educational Committee

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference24 articles.

1. H. Alharthi, D. Inkpen, Content-based recommender system enriched with wordnet synsets, in: Conference on intelligent text processing and computational linguistics, Springer Lecture Notes in Computer Science, Cairo, Egypt, 2015, pp. 295–308.

2. J. Wintrode, G. Sell, A. Jansen, Content-based recommender systems for spoken documents, in: IEEE international conference on acoustics, speech, and signal processing, IEEE, Brisbane,Australia, 2015, pp. 5201–5205.

3. Recommender systems survey;Bobadilla;Knowl. Based Syst.,2013

4. A new user similarity model to improve the accuracy of collaborative filtering;Liu;Knowl. Based Syst.,2014

5. Collaborative recommendation with user generated content;Xu;Eng. Appl. Artif. Intell.,2015

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