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":"2024-09-12T01:50:20Z","timestamp":1726105820363},"publisher-location":"Cham","reference-count":14,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030638351"},{"type":"electronic","value":"9783030638368"}],"license":[{"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"},{"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.springernature.com\/gp\/researchers\/text-and-data-mining"},{"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.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-63836-8_34","type":"book-chapter","created":{"date-parts":[[2020,11,18]],"date-time":"2020-11-18T09:12:07Z","timestamp":1605690727000},"page":"407-419","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Asymmetric Pairwise Preference Learning for Heterogeneous One-Class Collaborative Filtering"],"prefix":"10.1007","author":[{"given":"Yongxin","family":"Ni","sequence":"first","affiliation":[]},{"given":"Zhuoxin","family":"Zhan","sequence":"additional","affiliation":[]},{"given":"Weike","family":"Pan","sequence":"additional","affiliation":[]},{"given":"Zhong","family":"Ming","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,11,19]]},"reference":[{"key":"34_CR1","doi-asserted-by":"crossref","unstructured":"Chen, C., Zhang, M., Zhang, Y., Ma, W., Liu, Y., Ma, S.: Efficient heterogeneous collaborative filtering without negative sampling for recommendation. In: Proceedings of the 34th AAAI Conference on Artificial Intelligence, pp. 19\u201326 (2020)","DOI":"10.1609\/aaai.v34i01.5329"},{"issue":"1","key":"34_CR2","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1145\/963770.963776","volume":"22","author":"M Deshpande","year":"2004","unstructured":"Deshpande, M., Karypis, G.: Item-based top-N recommendation algorithms. ACM Trans. Inf. Syst. 22(1), 143\u2013177 (2004)","journal-title":"ACM Trans. Inf. Syst."},{"key":"34_CR3","doi-asserted-by":"crossref","unstructured":"Ding, J., et al.: Improving implicit recommender systems with view data. In: Proceedings of the 27th International Joint Conference on Artificial Intelligence. IJCAI 2018, pp. 3343\u20133349 (2018)","DOI":"10.24963\/ijcai.2018\/464"},{"issue":"12","key":"34_CR4","doi-asserted-by":"publisher","first-page":"2354","DOI":"10.1109\/TKDE.2018.2831682","volume":"30","author":"X He","year":"2018","unstructured":"He, X., He, Z., Song, J., Liu, Z., Jiang, Y.G., Chua, T.S.: NAIS: neural attentive item similarity model for recommendation. IEEE Trans. Knowl. Data Eng. 30(12), 2354\u20132366 (2018)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"34_CR5","doi-asserted-by":"crossref","unstructured":"He, X., Liao, L., Zhang, H., Nie, L., Hu, X., Chua, T.S.: Neural collaborative filtering. In: Proceedings of the 26th International Conference on World Wide Web. WWW 2017, pp. 173\u2013182 (2017)","DOI":"10.1145\/3038912.3052569"},{"key":"34_CR6","doi-asserted-by":"crossref","unstructured":"Hu, Y., Yehuda, K., Chris, V.: Collaborative filtering for implicit feedback datasets. In: Proceedings of the 8th IEEE International Conference on Data Mining. ICDM 2008, pp. 263\u2013272 (2008)","DOI":"10.1109\/ICDM.2008.22"},{"key":"34_CR7","doi-asserted-by":"crossref","unstructured":"Kabbur, S., Ning, X., Karypis, G.: FISM: factored item similarity models for top-N recommender systems. In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. KDD 2013, pp. 659\u2013667 (2013)","DOI":"10.1145\/2487575.2487589"},{"key":"34_CR8","doi-asserted-by":"crossref","unstructured":"Ouyang, S., Li, L., Pan, W., Ming, Z.: Asymmetric Bayesian personalized ranking for one-class collaborative filtering. In: Proceedings of the 13th ACM Conference on Recommender Systems. RecSys 2019, pp. 373\u2013377 (2019)","DOI":"10.1145\/3298689.3347051"},{"key":"34_CR9","doi-asserted-by":"crossref","unstructured":"Pan, R., et al.: One-class collaborative filtering. In: Proceedings of the 8th IEEE International Conference on Data Mining. ICDM 2008, pp. 502\u2013511 (2008)","DOI":"10.1109\/ICDM.2008.16"},{"issue":"2","key":"34_CR10","doi-asserted-by":"publisher","first-page":"295","DOI":"10.1007\/s10115-018-1154-5","volume":"58","author":"W Pan","year":"2019","unstructured":"Pan, W., Chen, L., Ming, Z.: Personalized recommendation with implicit feedback via learning pairwise preferences over item-sets. Knowl. Inf. Syst. 58(2), 295\u2013318 (2019). https:\/\/doi.org\/10.1007\/s10115-018-1154-5","journal-title":"Knowl. Inf. Syst."},{"issue":"4","key":"34_CR11","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1109\/MIS.2016.19","volume":"31","author":"W Pan","year":"2016","unstructured":"Pan, W., Liu, M., Ming, Z.: Transfer learning for heterogeneous one-class collaborative filtering. IEEE Intell. Syst. 31(4), 43\u201349 (2016)","journal-title":"IEEE Intell. Syst."},{"key":"34_CR12","doi-asserted-by":"publisher","first-page":"80","DOI":"10.1016\/j.ins.2018.04.027","volume":"453","author":"H Qiu","year":"2018","unstructured":"Qiu, H., Liu, Y., Guo, G., Sun, Z., Zhang, J., Nguyen, H.T.: BPRH: Bayesian personalized ranking for heterogeneous implicit feedback. Inf. Sci. 453, 80\u201398 (2018)","journal-title":"Inf. Sci."},{"key":"34_CR13","unstructured":"Rendle, S., Freudenthaler, C., Gantner, Z., Schmidt-Thieme, L.: BPR: Bayesian personalized ranking from implicit feedback. In: Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence. UAI 2009, pp. 452\u2013461 (2009)"},{"key":"34_CR14","unstructured":"Salakhutdinov, R., Mnih, A.: Probabilistic matrix factorization. In: Annual Conference on Neural Information Processing Systems. NeurIPS 2007, pp. 1257\u20131264 (2007)"}],"container-title":["Lecture Notes in Computer Science","Neural Information Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-63836-8_34","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T13:32:48Z","timestamp":1710250368000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-63836-8_34"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030638351","9783030638368"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-63836-8_34","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"19 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)"}}]}}