{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T05:04:31Z","timestamp":1750309471943,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":18,"publisher":"ACM","license":[{"start":{"date-parts":[[2025,3,24]],"date-time":"2025-03-24T00:00:00Z","timestamp":1742774400000},"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":[],"published-print":{"date-parts":[[2025,3,24]]},"DOI":"10.1145\/3698204.3716465","type":"proceedings-article","created":{"date-parts":[[2025,4,30]],"date-time":"2025-04-30T06:41:20Z","timestamp":1745995280000},"page":"310-315","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Beyond the Surface: Investigating Explicit and Implicit Perceptions of Music Diversity"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0926-1293","authenticated-orcid":false,"given":"Yuyu","family":"Yang","sequence":"first","affiliation":[{"name":"School of Information and Library Science, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0845-7836","authenticated-orcid":false,"given":"Rob","family":"Capra","sequence":"additional","affiliation":[{"name":"School of Information and Library Science, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9299-7594","authenticated-orcid":false,"given":"Mengtian","family":"Guo","sequence":"additional","affiliation":[{"name":"School of Information and Library Science, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,4,29]]},"reference":[{"key":"e_1_3_3_1_2_2","doi-asserted-by":"crossref","unstructured":"Gediminas Adomavicius and YoungOk Kwon. 2014. Optimization-based approaches for maximizing aggregate recommendation diversity. INFORMS Journal on Computing 26 2 (2014) 351\u2013369. Publisher: INFORMS.","DOI":"10.1287\/ijoc.2013.0570"},{"key":"e_1_3_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380281"},{"key":"e_1_3_3_1_4_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-0716-2197-4_16"},{"key":"e_1_3_3_1_5_2","doi-asserted-by":"publisher","unstructured":"Benjamin\u00a0D. Douglas Patrick\u00a0J. Ewell and Markus Brauer. 2023. Data quality in online human-subjects research: Comparisons between MTurk Prolific CloudResearch Qualtrics and SONA. PLOS ONE 18 3 (March 2023) e0279720. DOI: 10.1371\/journal.pone.0279720","DOI":"10.1371\/journal.pone.0279720"},{"key":"e_1_3_3_1_6_2","doi-asserted-by":"publisher","unstructured":"Michael\u00a0D. Ekstrand Anubrata Das Robin Burke and Fernando Diaz. 2022. Fairness in Information Access Systems. Foundations and Trends in Information Retrieval 16 1-2 (2022) 1\u2013177. DOI: 10.1561\/1500000079","DOI":"10.1561\/1500000079"},{"key":"e_1_3_3_1_7_2","doi-asserted-by":"publisher","unstructured":"Natali Helberger Kari Karppinen and Lucia D\u2019Acunto. 2018. Exposure diversity as a design principle for recommender systems. Information Communication & Society 21 2 (Feb. 2018) 191\u2013207. DOI: 10.1080\/1369118X.2016.1271900","DOI":"10.1080\/1369118X.2016.1271900"},{"key":"e_1_3_3_1_8_2","doi-asserted-by":"publisher","unstructured":"Denis Kotkov Shuaiqiang Wang and Jari Veijalainen. 2016. A survey of serendipity in recommender systems. Knowledge-Based Systems 111 (Nov. 2016) 180\u2013192. DOI: 10.1016\/j.knosys.2016.08.014","DOI":"10.1016\/j.knosys.2016.08.014"},{"key":"e_1_3_3_1_9_2","doi-asserted-by":"publisher","DOI":"10.1093\/acprof:oso\/9780199753697.001.0001"},{"key":"e_1_3_3_1_10_2","doi-asserted-by":"crossref","unstructured":"Minsu Park Jennifer Thom Sarah Mennicken Henriette Cramer and Michael Macy. 2019. Global music streaming data reveal diurnal and seasonal patterns of affective preference. Nature human behaviour 3 3 (2019) 230\u2013236. Publisher: Nature Publishing Group.","DOI":"10.1038\/s41562-018-0508-z"},{"key":"e_1_3_3_1_11_2","doi-asserted-by":"publisher","unstructured":"Lorenzo Porcaro Carlos Castillo and Emilia G\u00f3mez. 2021. Diversity by Design in Music Recommender Systems. Transactions of the International Society for Music Information Retrieval 4 1 (Nov. 2021) 114\u2013126. DOI: 10.5334\/tismir.106","DOI":"10.5334\/tismir.106"},{"key":"e_1_3_3_1_12_2","doi-asserted-by":"publisher","DOI":"10.1145\/3498366.3505778"},{"key":"e_1_3_3_1_13_2","doi-asserted-by":"publisher","unstructured":"Lorenzo Porcaro Emilia G\u00f3mez and Carlos Castillo. 2022. Perceptions of Diversity in Electronic Music: the Impact of Listener Artist and Track Characteristics. Proceedings of the ACM on Human-Computer Interaction 6 CSCW1 (March 2022) 1\u201326. DOI: 10.1145\/3512956","DOI":"10.1145\/3512956"},{"key":"e_1_3_3_1_14_2","first-page":"446","volume-title":"Proceeding of International Society for Music Information Retrieval (ISMIR)","author":"Robinson Kyle","year":"2020","unstructured":"Kyle Robinson, Dan Brown, and Markus Schedl. 2020. User Insights on Diversity in Music Recommendation Lists. In Proceeding of International Society for Music Information Retrieval (ISMIR). 446\u2013453."},{"key":"e_1_3_3_1_15_2","doi-asserted-by":"crossref","unstructured":"Tefko Saracevic. 2007. Relevance: A review of the literature and a framework for thinking on the notion in information science. Part II: Nature and manifestations of relevance. Journal of the American society for information science and technology 58 13 (2007) 1915\u20131933.","DOI":"10.1002\/asi.20682"},{"key":"e_1_3_3_1_16_2","doi-asserted-by":"publisher","DOI":"10.1145\/3471158.3472260"},{"key":"e_1_3_3_1_17_2","doi-asserted-by":"publisher","DOI":"10.1145\/3576840.3578322"},{"key":"e_1_3_3_1_18_2","doi-asserted-by":"publisher","DOI":"10.1145\/1454008.1454030"},{"key":"e_1_3_3_1_19_2","doi-asserted-by":"publisher","unstructured":"Tao Zhou Zolt\u00e1n Kuscsik Jian-Guo Liu Mat\u00fa\u0161 Medo Joseph\u00a0Rushton Wakeling and Yi-Cheng Zhang. 2010. Solving the apparent diversity-accuracy dilemma of recommender systems. Proceedings of the National Academy of Sciences 107 10 (March 2010) 4511\u20134515. DOI: 10.1073\/pnas.1000488107","DOI":"10.1073\/pnas.1000488107"}],"event":{"name":"CHIIR '25: 2025 ACM SIGIR Conference on Human Information Interaction and Retrieval","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval"],"location":"Melbourne Australia","acronym":"CHIIR '25"},"container-title":["Proceedings of the 2025 ACM SIGIR Conference on Human Information Interaction and Retrieval"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3698204.3716465","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3698204.3716465","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T01:17:18Z","timestamp":1750295838000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3698204.3716465"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,3,24]]},"references-count":18,"alternative-id":["10.1145\/3698204.3716465","10.1145\/3698204"],"URL":"https:\/\/doi.org\/10.1145\/3698204.3716465","relation":{},"subject":[],"published":{"date-parts":[[2025,3,24]]},"assertion":[{"value":"2025-04-29","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}