{"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/coldroute-effective-routing-of-cold-questions","title":"ColdRoute: Effective Routing of Cold Questions in Stack Exchange Sites","arxiv_id":"1807.00462","date":"2018-07-02","proceeding":null,"authors":["Jiankai Sun","Abhinav Vishnu","Aniket Chakrabarti","Charles Siegel","Srinivasan Parthasarathy"],"abstract":"Routing questions in Community Question Answer services (CQAs) such as Stack\nExchange sites is a well-studied problem. Yet, cold-start -- a phenomena\nobserved when a new question is posted is not well addressed by existing\napproaches. Additionally, cold questions posted by new askers present\nsignificant challenges to state-of-the-art approaches. We propose ColdRoute to\naddress these challenges. ColdRoute is able to handle the task of routing cold\nquestions posted by new or existing askers to matching experts. Specifically,\nwe use Factorization Machines on the one-hot encoding of critical features such\nas question tags and compare our approach to well-studied techniques such as\nCQARank and semantic matching (LDA, BoW, and Doc2Vec). Using data from eight\nstack exchange sites, we are able to improve upon the routing metrics\n(Precision$@1$, Accuracy, MRR) over the state-of-the-art models such as\nsemantic matching by $159.5\\%$,$31.84\\%$, and $40.36\\%$ for cold questions\nposted by existing askers, and $123.1\\%$, $27.03\\%$, and $34.81\\%$ for cold\nquestions posted by new askers respectively.","url_abs":"http://arxiv.org/abs/1807.00462v1","url_pdf":"http://arxiv.org/pdf/1807.00462v1.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":"coldroute-effective-routing-of-cold-questions","repo_url":"https://github.com/zhenv5/ColdRoute","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}