{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T01:10:36Z","timestamp":1774487436489,"version":"3.50.1"},"publisher-location":"Cham","reference-count":35,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031560682","type":"print"},{"value":"9783031560699","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-3-031-56069-9_12","type":"book-chapter","created":{"date-parts":[[2024,3,22]],"date-time":"2024-03-22T08:17:45Z","timestamp":1711095465000},"page":"152-168","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Towards Robust Expert Finding in\u00a0Community Question Answering Platforms"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6556-4032","authenticated-orcid":false,"given":"Maddalena","family":"Amendola","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1694-612X","authenticated-orcid":false,"given":"Andrea","family":"Passarella","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7189-4724","authenticated-orcid":false,"given":"Raffaele","family":"Perego","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,3,23]]},"reference":[{"key":"12_CR1","doi-asserted-by":"crossref","unstructured":"Aslay, \u00c7., O\u2019Hare, N., Aiello, L.M., Jaimes, A.: Competition-based networks for expert finding. In: Proceedings of the 36th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 1033\u20131036 (2013)","DOI":"10.1145\/2484028.2484183"},{"key":"12_CR2","doi-asserted-by":"publisher","unstructured":"Bassani, E.: ranx: a blazing-fast python library for ranking evaluation and comparison. In: Hagen, M., et al. (eds.) ECIR (2). Lecture Notes in Computer Science, vol. 13186, pp. 259\u2013264. Springer, Heidelberg (2022). https:\/\/doi.org\/10.1007\/978-3-030-99739-7_30","DOI":"10.1007\/978-3-030-99739-7_30"},{"key":"12_CR3","unstructured":"Bergstra, J., Yamins, D., Cox, D.D.: Making a science of model search: Hyperparameter optimization in hundreds of dimensions for vision architectures. In: Proceedings of the 30th International Conference on International Conference on Machine Learning, ICML 2013, vol. 28, pp. I-115\u2013I-123. JMLR.org (2013)"},{"issue":"23\u2013581","key":"12_CR4","first-page":"81","volume":"11","author":"CJ Burges","year":"2010","unstructured":"Burges, C.J.: From ranknet to lambdarank to lambdamart: an overview. Learning 11(23\u2013581), 81 (2010)","journal-title":"Learning"},{"key":"12_CR5","doi-asserted-by":"crossref","unstructured":"Nobari, A.D., Gharebagh, S.S., Neshati, M.: Skill translation models in expert finding. In: Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 1057\u20131060 (2017)","DOI":"10.1145\/3077136.3080719"},{"key":"12_CR6","doi-asserted-by":"publisher","unstructured":"Dehghan, M., Abin, A.A.: Translations diversification for expert finding: a novel clustering-based approach. ACM Trans. Knowl. Disc. Data 13(3), 32:1\u201332:20 (2019). https:\/\/doi.org\/10.1145\/3320489","DOI":"10.1145\/3320489"},{"issue":"3","key":"12_CR7","doi-asserted-by":"publisher","first-page":"1067","DOI":"10.1016\/j.ipm.2019.02.017","volume":"56","author":"M Dehghan","year":"2019","unstructured":"Dehghan, M., Biabani, M., Abin, A.A.: Temporal expert profiling: with an application to t-shaped expert finding. Inf. Process. Manag. 56(3), 1067\u20131079 (2019). https:\/\/doi.org\/10.1016\/j.ipm.2019.02.017","journal-title":"Inf. Process. Manag."},{"key":"12_CR8","doi-asserted-by":"publisher","unstructured":"Devlin, J., Chang, M., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. In: Burstein, J., Doran, C., Solorio, T. (eds.) Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2019, Minneapolis, MN, USA, 2\u20137 June 2019, vol. 1 (Long and Short Papers), pp. 4171\u20134186. Association for Computational Linguistics (2019). https:\/\/doi.org\/10.18653\/v1\/n19-1423","DOI":"10.18653\/v1\/n19-1423"},{"key":"12_CR9","doi-asserted-by":"publisher","first-page":"168","DOI":"10.1016\/j.chb.2018.06.013","volume":"100","author":"MS Faisal","year":"2019","unstructured":"Faisal, M.S., Daud, A., Akram, A.U., Abbasi, R.A., Aljohani, N.R., Mehmood, I.: Expert ranking techniques for online rated forums. Comput. Hum. Behav. 100, 168\u2013176 (2019)","journal-title":"Comput. Hum. Behav."},{"key":"12_CR10","doi-asserted-by":"crossref","unstructured":"Freeman, L.C.: A set of measures of centrality based on betweenness. In: Sociometry, pp. 35\u201341 (1977)","DOI":"10.2307\/3033543"},{"issue":"6","key":"12_CR11","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2019.102075","volume":"56","author":"C Fu","year":"2019","unstructured":"Fu, C.: Tracking user-role evolution via topic modeling in community question answering. Inf. Process. Manag. 56(6), 102075 (2019)","journal-title":"Inf. Process. Manag."},{"key":"12_CR12","doi-asserted-by":"publisher","first-page":"634","DOI":"10.1007\/s10489-019-01544-y","volume":"50","author":"C Fu","year":"2020","unstructured":"Fu, C.: User correlation model for question recommendation in community question answering. Appl. Intell. 50, 634\u2013645 (2020)","journal-title":"Appl. Intell."},{"key":"12_CR13","doi-asserted-by":"crossref","unstructured":"Fu, J., et al.: Recurrent memory reasoning network for expert finding in community question answering. In: Proceedings of the 13th International Conference on Web Search and Data Mining, pp. 187\u2013195 (2020)","DOI":"10.1145\/3336191.3371817"},{"key":"12_CR14","doi-asserted-by":"publisher","unstructured":"Giannakidou, E., Koutsonikola, V., Vakali, A., Kompatsiaris, Y.: Co-clustering tags and social data sources. In: 2008 The Ninth International Conference on Web-Age Information Management, pp. 317\u2013324 (2008). https:\/\/doi.org\/10.1109\/WAIM.2008.61","DOI":"10.1109\/WAIM.2008.61"},{"key":"12_CR15","unstructured":"Hoffa, F.: Making sense of the metadata: clustering 4,000 stack overflow tags with bigquery k-means (2019). https:\/\/stackoverflow.blog\/2019\/07\/24\/making-sense-of-the-metadata-clustering-4000-stack-overflow-tags-with-bigquery-k-means\/"},{"key":"12_CR16","unstructured":"Ke, G., et al.: LightGBM: a highly efficient gradient boosting decision tree. In: Guyon, I., et al. (eds.) Advances in Neural Information Processing Systems, vol.\u00a030. Curran Associates, Inc. (2017). https:\/\/proceedings.neurips.cc\/paper_files\/paper\/2017\/file\/6449f44a102fde848669bdd9eb6b76fa-Paper.pdf"},{"key":"12_CR17","doi-asserted-by":"publisher","first-page":"463","DOI":"10.1007\/s10489-018-1286-z","volume":"49","author":"D Kundu","year":"2019","unstructured":"Kundu, D., Mandal, D.P.: Formulation of a hybrid expertise retrieval system in community question answering services. Appl. Intell. 49, 463\u2013477 (2019)","journal-title":"Appl. Intell."},{"key":"12_CR18","doi-asserted-by":"publisher","unstructured":"Kundu, D., Pal, R.K., Mandal, D.P.: Finding active experts for question routing in community question answering services. In: Deka, B., Maji, P., Mitra, S., Bhattacharyya, D., Bora, P., Pal, S. (eds.) Pattern Recognition and Machine Intelligence: 8th International Conference, PReMI 2019, Tezpur, India, 17\u201320 December 2019, Proceedings, Part II, pp. 320\u2013327. Springer, Heidelberg (2019). https:\/\/doi.org\/10.1007\/978-3-030-34872-4_36","DOI":"10.1007\/978-3-030-34872-4_36"},{"key":"12_CR19","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2019.113164","volume":"129","author":"D Kundu","year":"2020","unstructured":"Kundu, D., Pal, R.K., Mandal, D.P.: Preference enhanced hybrid expertise retrieval system in community question answering services. Decis. Supp. Syst. 129, 113164 (2020)","journal-title":"Decis. Supp. Syst."},{"issue":"10","key":"12_CR20","first-page":"1246","volume":"69","author":"LT Le","year":"2018","unstructured":"Le, L.T., Shah, C.: Retrieving people: identifying potential answerers in community question-answering. J. Am. Soc. Inf. Sci. 69(10), 1246\u20131258 (2018)","journal-title":"J. Am. Soc. Inf. Sci."},{"key":"12_CR21","doi-asserted-by":"crossref","unstructured":"Li, L., Shang, Y., Zhang, W.: Improvement of hits-based algorithms on web documents. In: Proceedings of the 11th International Conference on World Wide Web, pp. 527\u2013535 (2002)","DOI":"10.1145\/511446.511514"},{"key":"12_CR22","doi-asserted-by":"crossref","unstructured":"Li, Z., Jiang, J.Y., Sun, Y., Wang, W.: Personalized question routing via heterogeneous network embedding. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol.\u00a033, pp. 192\u2013199 (2019)","DOI":"10.1609\/aaai.v33i01.3301192"},{"key":"12_CR23","doi-asserted-by":"publisher","unstructured":"Liang, S.: Unsupervised semantic generative adversarial networks for expert retrieval. In: Liu, L., et al. (eds.) The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, 13\u201317 May 2019, pp. 1039\u20131050. ACM (2019). https:\/\/doi.org\/10.1145\/3308558.3313625","DOI":"10.1145\/3308558.3313625"},{"key":"12_CR24","doi-asserted-by":"crossref","unstructured":"Liu, H., Lv, Z., Yang, Q., Xu, D., Peng, Q.: Efficient non-sampling expert finding. In: Proceedings of the 31st ACM International Conference on Information & Knowledge Management, pp. 4239\u20134243 (2022)","DOI":"10.1145\/3511808.3557592"},{"issue":"3","key":"12_CR25","doi-asserted-by":"publisher","first-page":"225","DOI":"10.1561\/1500000016","volume":"3","author":"TY Liu","year":"2009","unstructured":"Liu, T.Y.: Learning to rank for information retrieval. Found. Trends Inf. Retr. 3(3), 225\u2013331 (2009). https:\/\/doi.org\/10.1561\/1500000016","journal-title":"Found. Trends Inf. Retr."},{"issue":"6","key":"12_CR26","doi-asserted-by":"publisher","first-page":"1462","DOI":"10.1016\/j.ipm.2005.03.012","volume":"41","author":"X Liu","year":"2005","unstructured":"Liu, X., Bollen, J., Nelson, M.L., Van de Sompel, H.: Co-authorship networks in the digital library research community. Inf. Process. Manag. 41(6), 1462\u20131480 (2005)","journal-title":"Inf. Process. Manag."},{"key":"12_CR27","doi-asserted-by":"publisher","unstructured":"Lucchese, C., Nardini, F.M., Orlando, S., Perego, R., Veneri, A.: Ilmart: interpretable ranking with constrained lambdamart. In: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2022, Pp. 2255-2259. Association for Computing Machinery, New York (2022). https:\/\/doi.org\/10.1145\/3477495.3531840","DOI":"10.1145\/3477495.3531840"},{"key":"12_CR28","doi-asserted-by":"publisher","unstructured":"Mumtaz, S., Rodriguez, C., Benatallah, B.: Expert2vec: experts representation in community question answering for question routing. In: Giorgini, P., Weber, B. (eds.) Advanced Information Systems Engineering: 31st International Conference, CAiSE 2019, Rome, Italy, 3\u20137 June 2019, Proceedings, vol. 31, pp. 213\u2013229. Springer, Heidelberg (2019). https:\/\/doi.org\/10.1007\/978-3-030-21290-2_14","DOI":"10.1007\/978-3-030-21290-2_14"},{"key":"12_CR29","doi-asserted-by":"crossref","unstructured":"Peng, Q., Liu, H.: Expertplm: pre-training expert representation for expert finding. In: Findings of the Association for Computational Linguistics: EMNLP 2022, pp. 1043\u20131052 (2022)","DOI":"10.18653\/v1\/2022.findings-emnlp.74"},{"key":"12_CR30","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1016\/0377-0427(87)90125-7","volume":"20","author":"PJ Rousseeuw","year":"1987","unstructured":"Rousseeuw, P.J.: Silhouettes: a graphical aid to the interpretation and validation of cluster analysis. J. Comput. Appl. Math. 20, 53\u201365 (1987)","journal-title":"J. Comput. Appl. Math."},{"key":"12_CR31","doi-asserted-by":"publisher","unstructured":"Roy, P.K., Singh, J.P., Nag, A.: Finding active expert users for question routing in community question answering sites. In: Machine Learning and Data Mining in Pattern Recognition: 14th International Conference, MLDM 2018, New York, NY, USA, 15\u201319 July 2018, Proceedings, Part II, vol. 14. pp. 440\u2013451. Springer, Heidelberg (2018). https:\/\/doi.org\/10.1007\/978-3-319-96133-0_33","DOI":"10.1007\/978-3-319-96133-0_33"},{"key":"12_CR32","doi-asserted-by":"publisher","unstructured":"Sun, J., Bandyopadhyay, B., Bashizade, A., Liang, J., Sadayappan, P., Parthasarathy, S.: ATP: directed graph embedding with asymmetric transitivity preservation. In: The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI 2019, The Thirty-First Innovative Applications of Artificial Intelligence Conference, IAAI 2019, The Ninth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, Honolulu, Hawaii, USA, 27 January\u20131 February 2019, pp. 265\u2013272. AAAI Press (2019). https:\/\/doi.org\/10.1609\/aaai.v33i01.3301265","DOI":"10.1609\/aaai.v33i01.3301265"},{"key":"12_CR33","unstructured":"Sun, J., Moosavi, S., Ramnath, R., Parthasarathy, S.: QDEE: question difficulty and expertise estimation in community question answering sites. In: Proceedings of the Twelfth International Conference on Web and Social Media, ICWSM 2018, Stanford, California, USA, 25\u201328 June 2018, pp. 375\u2013384. AAAI Press (2018). https:\/\/aaai.org\/ocs\/index.php\/ICWSM\/ICWSM18\/paper\/view\/17854"},{"key":"12_CR34","doi-asserted-by":"crossref","unstructured":"Tondulkar, R., Dubey, M., Desarkar, M.S.: Get me the best: predicting best answerers in community question answering sites. In: Proceedings of the 12th ACM Conference on Recommender Systems, pp. 251\u2013259 (2018)","DOI":"10.1145\/3240323.3240346"},{"key":"12_CR35","doi-asserted-by":"publisher","unstructured":"Zhang, X., et al.: Temporal context-aware representation learning for question routing. In: Caverlee, J., Hu, X.B., Lalmas, M., Wang, W. (eds.) WSDM 2020: The Thirteenth ACM International Conference on Web Search and Data Mining, Houston, TX, USA, 3\u20137 February 2020, pp. 753\u2013761. ACM (2020). https:\/\/doi.org\/10.1145\/3336191.3371847","DOI":"10.1145\/3336191.3371847"}],"container-title":["Lecture Notes in Computer Science","Advances in Information Retrieval"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-56069-9_12","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,14]],"date-time":"2024-11-14T21:25:54Z","timestamp":1731619554000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-56069-9_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031560682","9783031560699"],"references-count":35,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-56069-9_12","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"23 March 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ECIR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"European Conference on Information Retrieval","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Glasgow","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"United Kingdom","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 March 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 March 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ecir2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.ecir2024.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"578","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"110","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"69","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"19% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"31 (Tracks: Workshop, Tutorial, Industry, Doctoral Consortium)","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}