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In this article, we propose a framework to find experts for given questions and assign them the related questions. The proposed model benefits from users\u2019 relations in a community along with the lexical and semantic similarities between new question and existing answers. Node embedding is applied to the community graph to find similar users. Our experiments on four different Stack Exchange datasets show that adding community relations improves the performance of expert finding models.<\/jats:p>","DOI":"10.1145\/3441302","type":"journal-article","created":{"date-parts":[[2021,3,26]],"date-time":"2021-03-26T16:43:12Z","timestamp":1616776992000},"page":"1-16","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":30,"title":["User Embedding for Expert Finding in Community Question Answering"],"prefix":"10.1145","volume":"15","author":[{"given":"Negin","family":"Ghasemi","sequence":"first","affiliation":[{"name":"Amirkabir University of Technology, Tehran"}]},{"given":"Ramin","family":"Fatourechi","sequence":"additional","affiliation":[{"name":"Amirkabir University of Technology, Tehran"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8110-1342","authenticated-orcid":false,"given":"Saeedeh","family":"Momtazi","sequence":"additional","affiliation":[{"name":"Amirkabir University of Technology, Tehran"}]}],"member":"320","published-online":{"date-parts":[[2021,3,26]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/DEXA.2017.41"},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2008.06.003"},{"key":"e_1_2_1_3_1","volume-title":"A neural probabilistic language model. 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