@inproceedings{f9284e3024674b17adf34017565f910b,
title = "Scalable tag recommendation for software information sites",
abstract = "Software developers can search, share and learn development experience, solutions, bug fixes and open source projects in software information sites such as StackOverflow and Freecode. Many software information sites rely on tags to classify their contents, i.e. software objects, in order to improve the performance and accuracy of various operations on the sites. The quality of tags thus has a significant impact on the usefulness of these sites. High quality tags are expected to be concise and can describe the most important features of the software objects.",
keywords = "Multi-Classification, Software Information Site, Software Object, Tag Recommendation",
author = "Pingyi Zhou and Jin Liu and Zijiang Yang and Guangyou Zhou",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 24th IEEE International Conference on Software Analysis, Evolution, and Reengineering, SANER 2017 ; Conference date: 21-02-2017 Through 24-02-2017",
year = "2017",
month = mar,
day = "21",
doi = "10.1109/SANER.2017.7884628",
language = "英语",
series = "SANER 2017 - 24th IEEE International Conference on Software Analysis, Evolution, and Reengineering",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "272--282",
editor = "Gabriele Bavota and Martin Pinzger and Andrian Marcus",
booktitle = "SANER 2017 - 24th IEEE International Conference on Software Analysis, Evolution, and Reengineering",
}