{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/deeptagrec-a-content-cum-user-based-tag","title":"DeepTagRec: A Content-cum-User based Tag Recommendation Framework for Stack Overflow","arxiv_id":"1903.03941","date":"2019-03-10","proceeding":null,"authors":["Suman Kalyan Maity","Abhishek Panigrahi","Sayan Ghosh","Arundhati Banerjee","Pawan Goyal","Animesh Mukherjee"],"abstract":"In this paper, we develop a content-cum-user based deep learning framework\nDeepTagRec to recommend appropriate question tags on Stack Overflow. The\nproposed system learns the content representation from question title and body.\nSubsequently, the learnt representation from heterogeneous relationship between\nuser and tags is fused with the content representation for the final tag\nprediction. On a very large-scale dataset comprising half a million question\nposts, DeepTagRec beats all the baselines; in particular, it significantly\noutperforms the best performing baseline T agCombine achieving an overall gain\nof 60.8% and 36.8% in precision@3 and recall@10 respectively. DeepTagRec also\nachieves 63% and 33.14% maximum improvement in exact-k accuracy and top-k\naccuracy respectively over TagCombine","url_abs":"http://arxiv.org/abs/1903.03941v1","url_pdf":"http://arxiv.org/pdf/1903.03941v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"deeptagrec-a-content-cum-user-based-tag","repo_url":"https://github.com/b18arundhati/DeepTagRec-A-Content-cum-User-based-Tag-Recommendation-Framework-for-Stack-Overflow","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"tf","reach":null}],"tasks":[{"task_slug":"tag","task_name":"TAG"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}