A Tag Recommendation Hybrid Model for Social Annotation Systems

Authors

DOI:

https://doi.org/10.29019/enfoqueute.v11n4.640

Keywords:

Folksonomy, Social Tagging, User's tagging history

Abstract

Social tagging consists of classifying web resources using words or tags freely chosen by users. The simplicity and openness of social tagging systems to organize resources is the key to your success on the internet. There are numerous approaches to facilitate the user the labeling process, allowing them to reuse labels and thus optimizing their limited reading and writing time. This document proposes a different hybrid approach that simply solves the problem of recommendations based solely on the content of the resource, merging the list of recommendations with the most popular tags in the user's tag history, thus allowing them to reuse terms assigned to others resources.

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Published

2020-10-01

How to Cite

Portilla Olvera, E., & Lis Godoy, D. (2020). A Tag Recommendation Hybrid Model for Social Annotation Systems. Enfoque UTE, 11(4), pp. 1 – 15. https://doi.org/10.29019/enfoqueute.v11n4.640

Issue

Vol. 11 No. 4 (2020)

Section

Miscellaneous

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