{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T22:14:02Z","timestamp":1742940842000,"version":"3.40.3"},"publisher-location":"Cham","reference-count":13,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030731960"},{"type":"electronic","value":"9783030731977"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"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":[[2021]]},"DOI":"10.1007\/978-3-030-73197-7_47","type":"book-chapter","created":{"date-parts":[[2021,4,6]],"date-time":"2021-04-06T19:03:01Z","timestamp":1617735781000},"page":"692-700","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Personality Traits Prediction Based on Sparse Digital Footprints via Discriminative Matrix Factorization"],"prefix":"10.1007","author":[{"given":"Shipeng","family":"Wang","sequence":"first","affiliation":[]},{"given":"Daokun","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Lizhen","family":"Cui","sequence":"additional","affiliation":[]},{"given":"Xudong","family":"Lu","sequence":"additional","affiliation":[]},{"given":"Lei","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Qingzhong","family":"Li","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,4,6]]},"reference":[{"issue":"3","key":"47_CR1","doi-asserted-by":"publisher","first-page":"330","DOI":"10.1109\/TAFFC.2018.2828845","volume":"9","author":"A Basu","year":"2018","unstructured":"Basu, A., Dasgupta, A., Thyagharajan, A., Routray, A., Guha, R., Mitra, P.: A portable personality recognizer based on affective state classification using spectral fusion of features. IEEE Trans. Affect. Comput. 9(3), 330\u2013342 (2018)","journal-title":"IEEE Trans. Affect. Comput."},{"issue":"1","key":"47_CR2","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1007\/s41019-019-00113-0","volume":"5","author":"J He","year":"2020","unstructured":"He, J., Liu, H., Zheng, Y., Tang, S., He, W., Du, X.: Bi-labeled LDA: Inferring interest tags for non-famous users in social network. Data Sci. Eng. 5(1), 27\u201347 (2020)","journal-title":"Data Sci. Eng."},{"issue":"2","key":"47_CR3","doi-asserted-by":"publisher","first-page":"180","DOI":"10.1007\/s41019-020-00122-4","volume":"5","author":"T Ito","year":"2020","unstructured":"Ito, T., Tsubouchi, K., Sakaji, H., Yamashita, T., Izumi, K.: Contextual sentiment neural network for document sentiment analysis. Data Sci. Eng. 5(2), 180\u2013192 (2020)","journal-title":"Data Sci. Eng."},{"issue":"15","key":"47_CR4","doi-asserted-by":"publisher","first-page":"5802","DOI":"10.1073\/pnas.1218772110","volume":"110","author":"M Kosinski","year":"2013","unstructured":"Kosinski, M., Stillwell, D., Graepel, T.: Private traits and attributes are predictable from digital records of human behavior. Proc. Nat. Acad. Sci. 110(15), 5802\u20135805 (2013)","journal-title":"Proc. Nat. Acad. Sci."},{"issue":"4","key":"47_CR5","doi-asserted-by":"publisher","first-page":"493","DOI":"10.1037\/met0000105","volume":"21","author":"M Kosinski","year":"2016","unstructured":"Kosinski, M., Wang, Y., Lakkaraju, H., Leskovec, J.: Mining big data to extract patterns and predict real-life outcomes. Psychol. Methods 21(4), 493 (2016)","journal-title":"Psychol. Methods"},{"key":"47_CR6","doi-asserted-by":"crossref","unstructured":"Liu, X., Zhu, T.: Deep learning for constructing microblog behavior representation to identify social media user\u2019s personality. PeerJ Comput. Sci. 2, \u00a0e81 (2016)","DOI":"10.7717\/peerj-cs.81"},{"issue":"2","key":"47_CR7","doi-asserted-by":"publisher","first-page":"175","DOI":"10.1111\/j.1467-6494.1992.tb00970.x","volume":"60","author":"RR McCrae","year":"1992","unstructured":"McCrae, R.R., John, O.P.: An introduction to the five-factor model and its applications. J. Pers. 60(2), 175\u2013215 (1992)","journal-title":"J. Pers."},{"issue":"2","key":"47_CR8","doi-asserted-by":"publisher","first-page":"138","DOI":"10.1108\/IJCS-01-2019-0006","volume":"3","author":"S Wang","year":"2019","unstructured":"Wang, S., Cui, L., Liu, L., Lu, X., Li, Q.: Projecting real world into crowdintell network: a methodology. Int. J. Crowd Sci. 3(2), 138\u2013154 (2019)","journal-title":"Int. J. Crowd Sci."},{"issue":"1","key":"47_CR9","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1016\/j.patcog.2014.08.004","volume":"48","author":"S Wang","year":"2015","unstructured":"Wang, S., Pedrycz, W., Zhu, Q., Zhu, W.: Subspace learning for unsupervised feature selection via matrix factorization. Pattern Recogn. 48(1), 10\u201319 (2015)","journal-title":"Pattern Recogn."},{"key":"47_CR10","doi-asserted-by":"crossref","unstructured":"Wei, H., et al.: Beyond the words: Predicting user personality from heterogeneous information. In: Proceedings of the 10th ACM International Conference on Web Search and Data Mining, pp. 305\u2013314 (2017)","DOI":"10.1145\/3018661.3018717"},{"key":"47_CR11","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1007\/978-3-319-68935-7_21","volume-title":"Intelligent Data Engineering and Automated Learning \u2013 IDEAL 2017","author":"Z Ye","year":"2017","unstructured":"Ye, Z., Du, Y., Zhao, L.: Predicting personality traits of users in social networks. In: Yin, H. (ed.) IDEAL 2017. LNCS, vol. 10585, pp. 181\u2013191. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-68935-7_21"},{"issue":"4","key":"47_CR12","doi-asserted-by":"publisher","first-page":"1036","DOI":"10.1073\/pnas.1418680112","volume":"112","author":"W Youyou","year":"2015","unstructured":"Youyou, W., Kosinski, M., Stillwell, D.: Computer-based personality judgments are more accurate than those made by humans. Proc. Nat. Acad. Sci. 112(4), 1036\u20131040 (2015)","journal-title":"Proc. Nat. Acad. Sci."},{"key":"47_CR13","doi-asserted-by":"crossref","unstructured":"Zhang, D., Yin, J., Zhu, X., Zhang, C.: Collective classification via discriminative matrix factorization on sparsely labeled networks. In: Proceedings of the 25th ACM International on Conference on Information and Knowledge Management, pp. 1563\u20131572 (2016)","DOI":"10.1145\/2983323.2983754"}],"container-title":["Lecture Notes in Computer Science","Database Systems for Advanced Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-73197-7_47","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,8,7]],"date-time":"2021-08-07T15:20:48Z","timestamp":1628349648000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-73197-7_47"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030731960","9783030731977"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-73197-7_47","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"6 April 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"DASFAA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Database Systems for Advanced Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Taipei","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Taiwan","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 April 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 April 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"dasfaa2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/dm.iis.sinica.edu.tw\/DASFAA2021\/index.html","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":"CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"490","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":"98","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":"33","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":"20% - 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":"4","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":"7","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":"Due to the Corona pandemic this event was held virtually.","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)"}}]}}