{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:49:07Z","timestamp":1742914147513,"version":"3.40.3"},"publisher-location":"Cham","reference-count":17,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031398209"},{"type":"electronic","value":"9783031398216"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":[[2023]]},"DOI":"10.1007\/978-3-031-39821-6_3","type":"book-chapter","created":{"date-parts":[[2023,8,15]],"date-time":"2023-08-15T21:01:25Z","timestamp":1692133285000},"page":"33-48","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["How Does the\u00a0System Perceive Me? \u2014 A Transparent and\u00a0Tunable Recommender System"],"prefix":"10.1007","author":[{"given":"Mingman","family":"Xu","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4447-0480","authenticated-orcid":false,"given":"Qiong","family":"Chang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3038-7678","authenticated-orcid":false,"given":"Jun","family":"Miyazaki","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,8,16]]},"reference":[{"key":"3_CR1","doi-asserted-by":"crossref","unstructured":"Badenes, H., et al.: System U: automatically deriving personality traits from social media for people recommendation. In: Proceedings of the 8th ACM Conference on Recommender Systems, pp. 373\u2013374. ACM (2014)","DOI":"10.1145\/2645710.2645719"},{"key":"3_CR2","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"441","DOI":"10.1007\/978-3-319-90092-6_12","volume-title":"Social Information Access","author":"T Bogers","year":"2018","unstructured":"Bogers, T.: Tag-based recommendation. In: Brusilovsky, P., He, D. (eds.) Social Information Access. LNCS, vol. 10100, pp. 441\u2013479. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-90092-6_12"},{"key":"3_CR3","doi-asserted-by":"crossref","unstructured":"Bostandjiev, S., O\u2019Donovan, J., H\u00f6llerer, T.: TasteWeights: a visual interactive hybrid recommender system. In: Proceedings of the Sixth ACM Conference on Recommender Systems, pp. 35\u201342. ACM (2012)","DOI":"10.1145\/2365952.2365964"},{"issue":"1","key":"3_CR4","doi-asserted-by":"publisher","first-page":"125","DOI":"10.1007\/s11257-011-9108-6","volume":"22","author":"L Chen","year":"2012","unstructured":"Chen, L., Pu, P.: Critiquing-based recommenders: survey and emerging trends. User Model. User-Adapted Interact. 22(1), 125\u2013150 (2012)","journal-title":"User Model. User-Adapted Interact."},{"key":"3_CR5","doi-asserted-by":"crossref","unstructured":"Farooq Butt, M.H., Li, J.P., Saboor, T.: A tunable and explainable attributes (TEA) for recommendation system. In: 2020 17th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP), pp. 39\u201343 (2020)","DOI":"10.1109\/ICCWAMTIP51612.2020.9317519"},{"issue":"4","key":"3_CR6","doi-asserted-by":"publisher","first-page":"367","DOI":"10.1016\/j.ijhcs.2013.12.007","volume":"72","author":"F Gedikli","year":"2014","unstructured":"Gedikli, F., Jannach, D., Ge, M.: How should I explain? A comparison of different explanation types for recommender systems. Int. J. Hum. Comput. Stud. 72(4), 367\u2013382 (2014)","journal-title":"Int. J. Hum. Comput. Stud."},{"issue":"1","key":"3_CR7","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1145\/963770.963772","volume":"22","author":"JL Herlocker","year":"2004","unstructured":"Herlocker, J.L., Konstan, J.A., Terveen, L.G., Riedl, J.T.: Evaluating collaborative filtering recommender systems. ACM Trans. Inf. Syst. 22(1), 5\u201353 (2004)","journal-title":"ACM Trans. Inf. Syst."},{"key":"3_CR8","doi-asserted-by":"crossref","unstructured":"Hijikata, Y., Kai, Y., Nishida, S.: The relation between user intervention and user satisfaction for information recommendation. In: Proceedings of the 27th Annual ACM Symposium on Applied Computing, pp. 2002\u20132007. ACM (2012)","DOI":"10.1145\/2245276.2232109"},{"key":"3_CR9","unstructured":"Kuan, J.: How to Build a Simple Movie Recommender System with Tags, December 2019. https:\/\/towardsdatascience.com\/how-to-build-a-simple-movie-recommender-system-with-tags-b9ab5cb3b616. Accessed 30 May 2023"},{"issue":"3","key":"3_CR10","doi-asserted-by":"publisher","first-page":"2717","DOI":"10.1007\/s00521-022-07689-1","volume":"35","author":"Y Liu","year":"2022","unstructured":"Liu, Y., Miyazaki, J.: Knowledge-aware attentional neural network for review-based movie recommendation with explanations. Neural Comput. Appl. 35(3), 2717\u20132735 (2022)","journal-title":"Neural Comput. Appl."},{"key":"3_CR11","doi-asserted-by":"crossref","unstructured":"Pariser, E.: The Filter Bubble: What The Internet Is Hiding From You. Penguin, London (2012)","DOI":"10.3139\/9783446431164"},{"key":"3_CR12","doi-asserted-by":"crossref","unstructured":"Parra, D., Brusilovsky, P., Trattner, C.: See what you want to see: visual user-driven approach for hybrid recommendation. In: Proceedings of the 19th International Conference on Intelligent User Interfaces, pp. 235\u2013240. ACM (2014)","DOI":"10.1145\/2557500.2557542"},{"key":"3_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1007\/978-3-319-10172-9_5","volume-title":"Business Process Management","author":"J Ribeiro","year":"2014","unstructured":"Ribeiro, J., Carmona, J., M\u0131s\u0131r, M., Sebag, M.: A recommender system for process discovery. In: Sadiq, S., Soffer, P., V\u00f6lzer, H. (eds.) BPM 2014. LNCS, vol. 8659, pp. 67\u201383. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-10172-9_5"},{"key":"3_CR14","unstructured":"Shirky, C.: Ontology is Overrated: Categories, Links, and Tags, April 2005. https:\/\/gwern.net\/doc\/technology\/2005-04-shirky-ontologyisoverratedcategorieslinksandtags.html. Accessed 2 Apr 2023"},{"key":"3_CR15","doi-asserted-by":"crossref","unstructured":"Sinha, R., Swearingen, K.: The role of transparency in recommender systems. In: CHI \u201902 Extended Abstracts on Human Factors in Computing Systems, pp. 830\u2013831. ACM (2002)","DOI":"10.1145\/506443.506619"},{"key":"3_CR16","doi-asserted-by":"crossref","unstructured":"Vig, J., Sen, S., Riedl, J.: Navigating the tag genome. In: Proceedings of the 16th International Conference on Intelligent User Interfaces, pp. 93\u2013102. ACM (2011)","DOI":"10.1145\/1943403.1943418"},{"key":"3_CR17","doi-asserted-by":"crossref","unstructured":"Wang, Z., Li, Y., Fang, L., Chen, P.: Joint knowledge graph and user preference for explainable recommendation. In: 2019 IEEE 5th International Conference on Computer and Communications (ICCC), pp. 1338\u20131342 (2019)","DOI":"10.1109\/ICCC47050.2019.9064099"}],"container-title":["Lecture Notes in Computer Science","Database and Expert Systems Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-39821-6_3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T18:44:55Z","timestamp":1710269095000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-39821-6_3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031398209","9783031398216"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-39821-6_3","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"16 August 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"DEXA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Database and Expert Systems Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Penang","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Malaysia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 August 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 August 2023","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":"dexa2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.dexa.org\/dexa2023","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":"EquinOCS","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"155","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":"49","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":"35","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":"32% - 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":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"For the workshops 7 full and 3 short papers have been accepted from 20 submissions","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)"}}]}}