{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,8]],"date-time":"2026-02-08T14:40:32Z","timestamp":1770561632151,"version":"3.49.0"},"reference-count":35,"publisher":"Association for Computing Machinery (ACM)","issue":"3","license":[{"start":{"date-parts":[[2019,5,29]],"date-time":"2019-05-29T00:00:00Z","timestamp":1559088000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Knowl. Discov. Data"],"published-print":{"date-parts":[[2019,6,30]]},"abstract":"<jats:p>Expert finding is the task of retrieving and ranking knowledgeable people in the subject of user\u2019s query. It is a well-studied problem that has attracted the attention of many researchers. The most important challenge in expert finding is to determine the similarity between query words and documents authored by candidate experts. One of the most important challenges in Information Retrieval (IR) community is the issue of vocabulary gap between queries and documents. In this study, a translation model based on words clustering in two query and co-occurrence spaces is proposed to overcome this problem. First, the words that are semantically close, are clustered in a query space and then each cluster in this space are clustered again in a co-occurrence space. Representatives of each cluster in the co-occurrence space are considered as a diverse subset of the parent cluster. By this method, the query translations are expected to be diversified in the query space. Next, a probabilistic model, that is based on the belonging degree of word to cluster and similarity of cluster to query in the query space, is used to consider the problem of vocabulary gap. Finally, the corresponding translations to each query are used in conjunction with a combination model for expert finding. Experiments on Stack Overflow dataset show the effectiveness of the proposed method for expert finding.<\/jats:p>","DOI":"10.1145\/3320489","type":"journal-article","created":{"date-parts":[[2019,5,30]],"date-time":"2019-05-30T12:41:00Z","timestamp":1559220060000},"page":"1-20","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":15,"title":["Translations Diversification for Expert Finding"],"prefix":"10.1145","volume":"13","author":[{"given":"Mahdi","family":"Dehghan","sequence":"first","affiliation":[{"name":"Shahid Beheshti University, Tehran, Iran"}]},{"given":"Ahmad Ali","family":"Abin","sequence":"additional","affiliation":[{"name":"Shahid Beheshti University, Tehran, Iran"}]}],"member":"320","published-online":{"date-parts":[[2019,5,29]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2017.2731868"},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2014.09.008"},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2008.06.003"},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1561\/1500000024"},{"key":"e_1_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/2801130"},{"key":"e_1_2_1_6_1","article-title":"Latent Dirichlet allocation","author":"Blei David M.","year":"2003","journal-title":"Journal of Machine Learning Research 3"},{"key":"e_1_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/1870096.1870099"},{"key":"e_1_2_1_8_1","volume-title":"Proceedings of the Text Retrieval Conference.","author":"Cao Yunbo","year":"2005"},{"key":"e_1_2_1_9_1","volume-title":"Proceedings of the European Conference on Artificial Intelligence. 535--540","author":"Cummins Ronan","year":"2010"},{"key":"e_1_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3077136.3080719"},{"key":"e_1_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2011.2161980"},{"key":"e_1_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.5555\/1763653.1763703"},{"key":"e_1_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/1835449.1835563"},{"key":"e_1_2_1_14_1","volume-title":"Shaw","author":"Fox Edward A.","year":"1994"},{"key":"e_1_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-76941-7_31"},{"key":"e_1_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-00958-7_18"},{"key":"e_1_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/1835449.1835505"},{"key":"e_1_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/1458082.1458230"},{"key":"e_1_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1561\/1500000035"},{"key":"e_1_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/2757282"},{"key":"e_1_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1561\/1500000016"},{"key":"e_1_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/1183614.1183671"},{"key":"e_1_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/2724720"},{"key":"e_1_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1002\/widm.1102"},{"key":"e_1_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1111\/exsy.12062"},{"key":"e_1_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2013.04.001"},{"key":"e_1_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2014.2312614"},{"key":"e_1_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1007\/s13278-015-0313-x"},{"key":"e_1_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/1458082.1458232"},{"key":"e_1_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/2766462.2767840"},{"key":"e_1_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/2872427.2882974"},{"key":"e_1_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/2910586"},{"key":"e_1_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-08786-3_23"},{"key":"e_1_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/1242572.1242603"},{"key":"e_1_2_1_35_1","first-page":"586","article-title":"Expansion-based technologies in finding relevant and new information: Thu trec 2002: Novelty track experiments","volume":"251","author":"Zhang Min","year":"2003","journal-title":"NIST Special Publication SP"}],"container-title":["ACM Transactions on Knowledge Discovery from Data"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3320489","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3320489","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:53:23Z","timestamp":1750204403000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3320489"}},"subtitle":["A Novel Clustering-based Approach"],"short-title":[],"issued":{"date-parts":[[2019,5,29]]},"references-count":35,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2019,6,30]]}},"alternative-id":["10.1145\/3320489"],"URL":"https:\/\/doi.org\/10.1145\/3320489","relation":{},"ISSN":["1556-4681","1556-472X"],"issn-type":[{"value":"1556-4681","type":"print"},{"value":"1556-472X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,5,29]]},"assertion":[{"value":"2018-01-01","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2019-03-01","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2019-05-29","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}