This week I read 'Tag Recommendations in Software Information Systems' and presented the topic to our group. A tag prediction system, Tag Combine, collects tags from CQA sites like Stack Overflow or Freecode and removes 'stop words' from each block of text. A multi-label learning algorithm is then used to build a multi-label classifier and give ranking scores of each tag based on similarity, tag terms and multi-labels. The results of Tag Combine outperformed earlier methods like Tag Rec by 22.65%, and the authors hope to achieve a higher percentage in the future.
Next week, I'll continue to read about the successes of tag prediction systems and download Apache to my machine to start analyzing machine learning algorithms in preparation for the analysis of our gaze data.
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