{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T18:08:54Z","timestamp":1742926134527,"version":"3.40.3"},"publisher-location":"Cham","reference-count":8,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030524845"},{"type":"electronic","value":"9783030524852"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-52485-2_8","type":"book-chapter","created":{"date-parts":[[2020,7,11]],"date-time":"2020-07-11T07:02:59Z","timestamp":1594450979000},"page":"72-78","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Data Pipelines for Personalized Exploration of Rated Datasets"],"prefix":"10.1007","author":[{"given":"Sihem","family":"Amer-Yahia","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anh Tho","family":"Le","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eric","family":"Simon","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,7,12]]},"reference":[{"key":"8_CR1","doi-asserted-by":"crossref","unstructured":"Amer-Yahia, S., Kleisarchaki, S., Kolloju, N.K., Lakshmanan, L.V.S., Zamar, R.H.: Exploring rated datasets with rating maps. In: Proceedings of the 26th International Conference on World Wide Web, WWW 2017, Perth, Australia, 3\u20137 April 2017, pp. 1411\u20131419 (2017)","DOI":"10.1145\/3038912.3052623"},{"issue":"11","key":"8_CR2","first-page":"1063","volume":"4","author":"M Das","year":"2011","unstructured":"Das, M., Amer-Yahia, S., Das, G., Yu, C.: MRI: meaningful interpretations of collaborative ratings. PVLDB 4(11), 1063\u20131074 (2011)","journal-title":"PVLDB"},{"issue":"2","key":"8_CR3","doi-asserted-by":"publisher","first-page":"201","DOI":"10.1007\/s00778-013-0341-y","volume":"23","author":"M Das","year":"2014","unstructured":"Das, M., Thirumuruganathan, S., Amer-Yahia, S., Das, G., Yu, C.: An expressive framework and efficient algorithms for the analysis of collaborative tagging. VLDB J. 23(2), 201\u2013226 (2014)","journal-title":"VLDB J."},{"key":"8_CR4","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"296","DOI":"10.1007\/978-3-319-46128-1_19","volume-title":"Machine Learning and Knowledge Discovery in Databases","author":"B Omidvar-Tehrani","year":"2016","unstructured":"Omidvar-Tehrani, B., Amer-Yahia, S., Dutot, P.-F., Trystram, D.: Multi-objective group discovery on the social web. In: Frasconi, P., Landwehr, N., Manco, G., Vreeken, J. (eds.) ECML PKDD 2016. LNCS (LNAI), vol. 9851, pp. 296\u2013312. Springer, Cham (2016). \nhttps:\/\/doi.org\/10.1007\/978-3-319-46128-1_19"},{"key":"8_CR5","doi-asserted-by":"crossref","unstructured":"Omidvar-Tehrani, B., Amer-Yahia, S., Termier, A.: Interactive user group analysis. In: CIKM, pp. 403\u2013412. ACM (2015)","DOI":"10.1145\/2806416.2806519"},{"issue":"2","key":"8_CR6","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1023\/A:1026543900054","volume":"40","author":"Y Rubner","year":"2000","unstructured":"Rubner, Y., Tomasi, C., Guibas, L.J.: The earth mover\u2019s distance as a metric for image retrieval. Int. J. Comput. Vis. 40(2), 99\u2013121 (2000)","journal-title":"Int. J. Comput. Vis."},{"key":"8_CR7","doi-asserted-by":"crossref","unstructured":"Sparks, E.R., Venkataraman, S., Kaftan, T., Franklin, M.J., Recht, B.: KeystoneML: optimizing pipelines for large-scale advanced analytics. In: 33rd IEEE International Conference on Data Engineering, ICDE 2017, San Diego, CA, USA, 19\u201322 April 2017, pp. 535\u2013546 (2017)","DOI":"10.1109\/ICDE.2017.109"},{"key":"8_CR8","volume-title":"Introduction to Data Mining","author":"P-N Tan","year":"2007","unstructured":"Tan, P.-N., et al.: Introduction to Data Mining, 1st edn. W. W. Norton & Company, New York (2007)","edition":"1"}],"container-title":["Communications in Computer and Information Science","Bias and Social Aspects in Search and Recommendation"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-52485-2_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,8,31]],"date-time":"2020-08-31T13:57:45Z","timestamp":1598882265000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-52485-2_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030524845","9783030524852"],"references-count":8,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-52485-2_8","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"12 July 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"BIAS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Workshop on Algorithmic Bias in Search and Recommendation","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Lisbon","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Portugal","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 April 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 April 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"bias2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/bias.disim.univaq.it\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-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":"44","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":"10","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":"7","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":"23% - 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":"3","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":"BIAS 2020 was held online","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)"}}]}}