{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,16]],"date-time":"2025-09-16T16:36:35Z","timestamp":1758040595997,"version":"3.44.0"},"publisher-location":"Cham","reference-count":14,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783032045546"},{"type":"electronic","value":"9783032045553"}],"license":[{"start":{"date-parts":[[2025,9,12]],"date-time":"2025-09-12T00:00:00Z","timestamp":1757635200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,9,12]],"date-time":"2025-09-12T00:00:00Z","timestamp":1757635200000},"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":[[2026]]},"DOI":"10.1007\/978-3-032-04555-3_29","type":"book-chapter","created":{"date-parts":[[2025,9,11]],"date-time":"2025-09-11T08:56:24Z","timestamp":1757580984000},"page":"351-365","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Targeted Trust-Based Merging of\u00a0Customers\u2019 Opinions"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-9993-5713","authenticated-orcid":false,"given":"Jurij","family":"Ru\u017eejnikov","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1017-0727","authenticated-orcid":false,"given":"Tatiana Valentine","family":"Guy","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,9,12]]},"reference":[{"key":"29_CR1","doi-asserted-by":"crossref","unstructured":"DeGroot, M.H., et al.: Optimal linear opinion pools. Manag. Sci. (1991)","DOI":"10.1287\/mnsc.37.5.546"},{"key":"29_CR2","unstructured":"Garg, A., et\u00a0al.: Generalized opinion pooling. In: AI &M (2004)"},{"key":"29_CR3","doi-asserted-by":"crossref","unstructured":"Genest, C., et\u00a0al.: Allocating the weights in the linear opinion pool. J. Forecast. (1990)","DOI":"10.1002\/for.3980090106"},{"key":"29_CR4","doi-asserted-by":"crossref","unstructured":"Karny, M.: Optimized geometric pooling of probabilities for information fusion and forgetting. Automatica (2025)","DOI":"10.1016\/j.automatica.2025.112337"},{"key":"29_CR5","doi-asserted-by":"crossref","unstructured":"Liu, P., et\u00a0al.: Social trust-driven consensus reaching model for multi-attribute group decision making: exploring social trust network completeness. TFS (2023)","DOI":"10.1109\/TFUZZ.2023.3241145"},{"key":"29_CR6","doi-asserted-by":"crossref","unstructured":"O\u2019Donovan, J., et\u00a0al.: Trust in recommender systems. In: Proceedings of the 10th International Conference on Intelligent User Interfaces (2005)","DOI":"10.1145\/1040830.1040870"},{"key":"29_CR7","unstructured":"O\u2019Doherty, D., et\u00a0al.: Trust-based recommendation: an empirical analysis. In: Proceedings of the 6th ACM Workshop on Social Network Mining and Analysis (2012)"},{"key":"29_CR8","doi-asserted-by":"crossref","unstructured":"Quinn, A., et\u00a0al.: Optimal design of priors constrained by external predictors. Int. J. Approximate Reasoning 153 (2017)","DOI":"10.1016\/j.ijar.2017.02.001"},{"key":"29_CR9","doi-asserted-by":"crossref","unstructured":"Romeijn, J.W.: An interpretation of weights in linear opinion pooling. Episteme (2020)","DOI":"10.1017\/epi.2020.45"},{"key":"29_CR10","doi-asserted-by":"crossref","unstructured":"Roy, F., et al.: Comparative analysis of different trust metrics of user-user trust-based recommendation system. Comput. Sci. (2022)","DOI":"10.7494\/csci.2022.23.3.4227"},{"key":"29_CR11","doi-asserted-by":"crossref","unstructured":"Rufo, M.J., et\u00a0al.: Merging experts\u2019 opinions: a bayesian hierarchical model with mixture of prior distributions. Eur. J. Oper. Res. (2010)","DOI":"10.1016\/j.ejor.2010.04.005"},{"key":"29_CR12","doi-asserted-by":"publisher","unstructured":"Ru\u017eejnikov, J.: Targeted trust based merging of customers opinions experiments: v1.0 (2025). https:\/\/doi.org\/10.5281\/zenodo.15738051","DOI":"10.5281\/zenodo.15738051"},{"key":"29_CR13","doi-asserted-by":"crossref","unstructured":"Sarwate, A.D.: Merging opinions by social sampling of posteriors. In: Proceedings of the 50th Annual Allerton Conference on Communication, Control, and Computing (Allerton) (2012)","DOI":"10.1109\/Allerton.2012.6483243"},{"key":"29_CR14","unstructured":"Ya, W., et al.: Consensus model of social network group decision-making based on trust relationship among experts and expert reliability. J. Syst. Eng. Electron. (2023)"}],"container-title":["Lecture Notes in Computer Science","Artificial Neural Networks and Machine Learning \u2013 ICANN 2025"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-04555-3_29","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,11]],"date-time":"2025-09-11T08:56:31Z","timestamp":1757580991000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-04555-3_29"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,12]]},"ISBN":["9783032045546","9783032045553"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-04555-3_29","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2025,9,12]]},"assertion":[{"value":"12 September 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The authors have no competing interests to declare that are relevant to the content of this article.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure of Interests"}},{"value":"ICANN","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Artificial Neural Networks","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Kaunas","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Lithuania","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 September 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 September 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"34","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icann2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/e-nns.org\/icann2025\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}