Customizing intelligent recommendation study with multiple advisors based on hierarchy structured fuzzy‐analytic hierarchy process-Reference-Cited by-同舟云学术

Customizing intelligent recommendation study with multiple advisors based on hierarchy structured fuzzy‐analytic hierarchy process

Published:2020-09-24 Issue:23 Volume:33 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Wan Park Seong¹,Mesicek Libor²,Shin Joohyun³,Bae Kitae¹,An Kyungjin⁴,Ko Hoon⁵^ORCID

Affiliation:

1. Department of New Media Business Seoul Media Institute of Technology Seoul South Korea

2. Department of Economic and Management Jan Evangelista Purkyne University Usti nad Labem Czech Republic

3. Department of New Industry Conversence Chosun University Gwangju South Korea

4. Department of Forestry and Landscape Architecture Konkuk University Seoul South Korea

5. IT Research Institute Chosun University Gwangju South Korea

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.5930

Reference18 articles.

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3. Question recommendation for knowledge search system;Ahn CM;J Korean Assoc Inf Educ,2010

4. LeeB LeeJ JunH. A study on the schema of knowledge through analysis knowledge‐based system. Paper presented at: Proceedings of the Society of CAD/CAM Engineers Conference;2015:604‐610.

5. KimJ ParkJ YiMY. Content knowledge structure based collaborative filtering recommender systems. Paper presented at: Proceedings of the Korea Information Processing Society Conference. Korea Information Processing Society;2016:408‐411.

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