research-article

SOTagRec: A Combined Tag Recommendation Approach for Stack Overflow

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Mengning YangAuthors Info & Claims

ICMAI '19: Proceedings of the 2019 4th International Conference on Mathematics and Artificial Intelligence

Pages 146 - 152

https://doi.org/10.1145/3325730.3325751

Published: 12 April 2019 Publication History

Abstract

Stack Overflow is one of the most popular online programming question and answer websites for developers around the world. Generally, developers need to provide tags for their posting. High-quality tags are expected to facilitate correct classification and efficient search. Unfortunately, tagging process is distributed and uncoordinated due to developers' understanding of their postings, English skills and preferences. Automatic tag recommendation becomes increasingly important for these information sites. In this paper, we propose SOTagRec, a novel tag recommendation approach combing convolutional neural network model and collaborative filtering method. By learning historical postings and their tags from existing information, SOTagRec can accurately infer tags for new postings. We have evaluated SOTagRec on Stackoverflow and compare with the state-of-the-art methods. Experiments Results show that SOTagRec achieves 81.7% and 88.7% respectively for Recall@5 and Recall@10, which outperforms the previous relevant methods.

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Cited By

Zhang FYu XKeung JLi FXie ZYang ZMa CZhang Z(2022)Improving Stack Overflow question title generation with copying enhanced CodeBERT model and bi-modal informationInformation and Software Technology10.1016/j.infsof.2022.106922148(106922)Online publication date: Aug-2022
https://doi.org/10.1016/j.infsof.2022.106922
Suwonchoochit NSenivongse T(2021)Classification of Database Technology Problems on Stack Overflow2021 IEEE/ACIS 19th International Conference on Software Engineering Research, Management and Applications (SERA)10.1109/SERA51205.2021.9509047(21-26)Online publication date: 20-Jun-2021
https://doi.org/10.1109/SERA51205.2021.9509047
Iqbal AKhatun SArefin MDewan M(2020)ERF: An Empirical Recommender Framework for Ascertaining Appropriate Learning Materials from Stack Overflow DiscussionsComputers10.3390/computers90300579:3(57)Online publication date: 20-Jul-2020
https://doi.org/10.3390/computers9030057

Index Terms

SOTagRec: A Combined Tag Recommendation Approach for Stack Overflow
1. Computing methodologies
  1. Machine learning
    1. Machine learning approaches
      1. Neural networks
2. Information systems
  1. Information retrieval
    1. Retrieval models and ranking
      1. Similarity measures

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ICMAI '19: Proceedings of the 2019 4th International Conference on Mathematics and Artificial Intelligence

April 2019

232 pages

ISBN:9781450362580

DOI:10.1145/3325730

Copyright © 2019 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Southwest Jiaotong University
Xihua University: Xihua University

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Association for Computing Machinery

New York, NY, United States

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Published: 12 April 2019

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ICMAI 2019

ICMAI 2019: 2019 4th International Conference on Mathematics and Artificial Intelligence

April 12 - 15, 2019

Chegndu, China

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Cited By

Zhang FYu XKeung JLi FXie ZYang ZMa CZhang Z(2022)Improving Stack Overflow question title generation with copying enhanced CodeBERT model and bi-modal informationInformation and Software Technology10.1016/j.infsof.2022.106922148(106922)Online publication date: Aug-2022
https://doi.org/10.1016/j.infsof.2022.106922
Suwonchoochit NSenivongse T(2021)Classification of Database Technology Problems on Stack Overflow2021 IEEE/ACIS 19th International Conference on Software Engineering Research, Management and Applications (SERA)10.1109/SERA51205.2021.9509047(21-26)Online publication date: 20-Jun-2021
https://doi.org/10.1109/SERA51205.2021.9509047
Iqbal AKhatun SArefin MDewan M(2020)ERF: An Empirical Recommender Framework for Ascertaining Appropriate Learning Materials from Stack Overflow DiscussionsComputers10.3390/computers90300579:3(57)Online publication date: 20-Jul-2020
https://doi.org/10.3390/computers9030057

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