乐胖代购免代理版

{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,12]],"date-time":"2024-09-12T01:59:20Z","timestamp":1726106360560},"publisher-location":"Cham","reference-count":14,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030638191"},{"type":"electronic","value":"9783030638207"}],"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"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/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":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-63820-7_14","type":"book-chapter","created":{"date-parts":[[2020,11,18]],"date-time":"2020-11-18T09:12:07Z","timestamp":1605690727000},"page":"122-130","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Simultaneous Customer Segmentation and Behavior Discovery"],"prefix":"10.1007","author":[{"given":"Siqi","family":"Zhang","sequence":"first","affiliation":[]},{"given":"Ling","family":"Luo","sequence":"additional","affiliation":[]},{"given":"Zhidong","family":"Li","sequence":"additional","affiliation":[]},{"given":"Yang","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Fang","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Richard","family":"Xu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,11,17]]},"reference":[{"key":"14_CR1","doi-asserted-by":"crossref","unstructured":"Adams, R.P., Murray, I., MacKay, D.J.: Tractable nonparametric Bayesian inference in Poisson processes with Gaussian process intensities. In: Proceedings of the 26th Annual International Conference on Machine Learning, pp. 9\u201316 (2009)","DOI":"10.1145\/1553374.1553376"},{"key":"14_CR2","series-title":"Springer Series in Statistics (Perspectives in Statistics)","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1007\/978-1-4612-1694-0_15","volume-title":"Selected Papers of Hirotugu Akaike","author":"H Akaike","year":"1998","unstructured":"Akaike, H.: Information theory and an extension of the maximum likelihood principle. In: Parzen, E., Tanabe, K., Kitagawa, G. (eds.) Selected Papers of Hirotugu Akaike. Springer Series in Statistics (Perspectives in Statistics), pp. 199\u2013213. Springer, Heidelberg (1998). https:\/\/doi.org\/10.1007\/978-1-4612-1694-0_15"},{"key":"14_CR3","unstructured":"Griffiths, T.L., Jordan, M.I., Tenenbaum, J.B., Blei, D.M.: Hierarchical topic models and the nested Chinese restaurant process. In: Advances in Neural Information Processing Systems, pp. 17\u201324 (2004)"},{"issue":"4","key":"14_CR4","doi-asserted-by":"publisher","first-page":"379","DOI":"10.1177\/002224378902600401","volume":"26","author":"WA Kamakura","year":"1989","unstructured":"Kamakura, W.A., Russell, G.J.: A probabilistic choice model for market segmentation and elasticity structure. J. Market. Res. 26(4), 379\u2013390 (1989)","journal-title":"J. Market. Res."},{"issue":"1","key":"14_CR5","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1177\/002224377000700102","volume":"7","author":"JM Kamen","year":"1970","unstructured":"Kamen, J.M., Toman, R.J.: Psychophysics of prices. J. Market. Res. 7(1), 27\u201335 (1970)","journal-title":"J. Market. Res."},{"key":"14_CR6","unstructured":"Lloyd, C., Gunter, T., Osborne, M., Roberts, S.: Variational inference for Gaussian process modulated Poisson processes. In: International Conference on Machine Learning, pp. 1814\u20131822 (2015)"},{"key":"14_CR7","doi-asserted-by":"crossref","unstructured":"Luo, L., Li, B., Koprinska, I., Berkovsky, S., Chen, F.: Discovering temporal purchase patterns with different responses to promotions. In: Proceedings of the 25thACM International on Conference on Information And Knowledge Management, pp. 2197\u20132202. ACM (2016)","DOI":"10.1145\/2983323.2983665"},{"issue":"4","key":"14_CR8","doi-asserted-by":"publisher","first-page":"426","DOI":"10.1177\/0047287511426339","volume":"51","author":"L Masiero","year":"2012","unstructured":"Masiero, L., Nicolau, J.L.: Tourism market segmentation based on price sensitivity: finding similar price preferences on tourism activities. J. Travel Res. 51(4), 426\u2013435 (2012)","journal-title":"J. Travel Res."},{"key":"14_CR9","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1007\/978-1-4039-3741-4_3","volume-title":"Marketing","author":"M McDonald","year":"2003","unstructured":"McDonald, M., Christopher, M., Bass, M.: Market segmentation. In: McDonald, M., Christopher, M., Bass, M. (eds.) Marketing, pp. 41\u201365. Springer, Heidelberg (2003). https:\/\/doi.org\/10.1007\/978-1-4039-3741-4_3"},{"key":"14_CR10","doi-asserted-by":"crossref","unstructured":"Porteous, I., Newman, D., Ihler, A., Asuncion, A., Smyth, P., Welling, M.: Fast collapsed Gibbs sampling for latent Dirichlet allocation. In: Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 569\u2013577. ACM (2008)","DOI":"10.1145\/1401890.1401960"},{"issue":"6191","key":"14_CR11","doi-asserted-by":"publisher","first-page":"1492","DOI":"10.1126\/science.1242072","volume":"344","author":"A Rodriguez","year":"2014","unstructured":"Rodriguez, A., Laio, A.: Clustering by fast search and find of density peaks. Science 344(6191), 1492\u20131496 (2014)","journal-title":"Science"},{"key":"14_CR12","unstructured":"Samo, Y.L.K., Roberts, S.: Scalable nonparametric Bayesian inference on point processes with Gaussian processes. In: International Conference on Machine Learning, pp. 2227\u20132236 (2015)"},{"key":"14_CR13","doi-asserted-by":"crossref","unstructured":"Sirvanci, M.B.: An empirical study of price thresholds and price sensitivity. J. Appl. Bus. Res. (JABR)9(2), 43\u201349 (1993)","DOI":"10.19030\/jabr.v9i2.6075"},{"key":"14_CR14","unstructured":"Smyth, P.: Clustering sequences with hidden Markov models. In: Advances in Neural Information Processing Systems, pp. 648\u2013654 (1997)"}],"container-title":["Communications in Computer and Information Science","Neural Information Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-63820-7_14","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,24]],"date-time":"2021-04-24T22:13:50Z","timestamp":1619302430000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-63820-7_14"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030638191","9783030638207"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-63820-7_14","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":"17 November 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICONIP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Neural Information Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Bangkok","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Thailand","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":"18 November 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 November 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iconip2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.apnns.org\/ICONIP2020","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":"CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"618","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":"187","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":"189","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":"30% - 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":"3.18","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":"3.68","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":"Due to COVID-19 pandemic the conference 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)"}}]}}