A systematic literature review of Linked Data‐based recommender systems

Publisher： John Wiley & Sons Inc

E-ISSN： 1532-0634|27|17|4659-4684

ISSN： 1532-0626

Source： CONCURRENCY AND COMPUTATION: PRACTICE & EXPERIENCE (ELECTRONIC), Vol.27, Iss.17, 2015-12, pp. : 4659-4684

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

The Use of Software Tools in Linked Data Publication and Consumption: A Systematic Literature Review

By  

International Journal on Semantic Web and Information Systems (IJSWIS), Vol. 13, Iss. 4, 2017-10 ,pp. : 68-88

IGI Global_journal

Access to resources Recommend Favorite

Evolution of Linked Data Application Domains From 2009 to 2015: A Systematic Literature Review

By  

International Journal of Technology Diffusion (IJTD), Vol. 9, Iss. 2, 2018-04 ,pp. : 1-20

IGI Global_journal

Access to resources Recommend Favorite

Allied: A Framework for Executing Linked Data-Based Recommendation Algorithms

By  

International Journal on Semantic Web and Information Systems (IJSWIS), Vol. 13, Iss. 4, 2017-10 ,pp. : 134-154

IGI Global_journal

Access to resources Recommend Favorite

Data-based mechanistic modelling of environmental, ecological, economic and engineering systems

By Young P.  

Environmental Modelling and Software, Vol. 13, Iss. 2, 1998-04 ,pp. : 105-122

Elsevier

Access to resources Recommend Favorite

Enhancing Product Recommender Systems on Sparse Binary Data

By Demiriz Ayhan  

Data Mining and Knowledge Discovery, Vol. 9, Iss. 2, 2004-09 ,pp. : 147-170

Springer Publishing Company

Access to resources Recommend Favorite