An Environmental Personalized Tag Recommendation Model

Xiao Wang; Chi Zhang; Peng Zhou Zhang

doi:10.4028/www.scientific.net/AMM.380-384.1358

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 380-384An Environmental Personalized Tag Recommendation...

An Environmental Personalized Tag Recommendation Model

Abstract:

Social tagging has been widely used in Web2.0 applications. An optimized tagging recommendation model is showed in this article which can be divided into four layers. They are respectively based on essential data, character analysis, semantic data mining and user advanced behavior analysis. By using this model, flexible tag recommendation services can be provided to fit different application circumstances.

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Periodical:

Applied Mechanics and Materials (Volumes 380-384)

Pages:

1358-1361

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.380-384.1358

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Online since:

August 2013

Authors:

Xiao Wang, Chi Zhang, Peng Zhou Zhang

Keywords:

Resource, Tag Recommendation Model, Tendency of Users Behavior

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