Sep 6, 2019 · Semi-Supervised Learning Based Tag Recommendation for Docker Repositories. Regular Paper; Published: 06 September 2019. Volume 34, pages 957 ...

This paper addresses the problem and proposes a semi-supervised learning based tag recommendation approach, SemiTagRec, for Docker repositories. SemiTagRec ...

A semi-supervised learning based tag recommendation approach, SemiTagRec, for Docker repositories is proposed and Experimental results show that Semi TagRec ...

SemiTagRec: A Semi-supervised Learning Based Tag Recommendation Approach for Docker Repositories · List of references · Publications that cite this publication.

... tags with high scores to the given Docker repositories. SemiTagRec includes the newly tagged repositories into the training data for the next round of training ...

The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their ...

Based on Dockerfile analysis, this paper proposes D-Tagger, a tag recommendation approach to addressing the problem of multi-labeling Docker repositories.

TL;DR: SemiTagRec iteratively trains the predictor with the cumulative tagged repositories and the extended tag vocabulary, to achieve a high accuracy of tag ...

{Reference Type}: Journal Article {Title}: Semi-Supervised Learning Based Tag Recommendation for Docker Repositories {Author}: Chen, Wei; Zhou, Jia-Hong ...

Jun 19, 2019 · For this repository, SemiTagRec predicts 7 tags, and 5 ones are reasonable. The reasonable tags are ' tensorflow ', ' artificial-intelligence ', ...