{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T18:54:24Z","timestamp":1743015264679,"version":"3.40.3"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030675394"},{"type":"electronic","value":"9783030675400"}],"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\/978-3-030-67540-0_22","type":"book-chapter","created":{"date-parts":[[2021,1,21]],"date-time":"2021-01-21T13:12:57Z","timestamp":1611234777000},"page":"375-385","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["EFMLP: A Novel Model for Web Service QoS Prediction"],"prefix":"10.1007","author":[{"given":"Kailing","family":"Ye","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huiqun","family":"Yu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guisheng","family":"Fan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liqiong","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,1,22]]},"reference":[{"key":"22_CR1","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1016\/j.dss.2017.12.012","volume":"107","author":"S Ding","year":"2018","unstructured":"Ding, S., Li, Y., Wu, D., Zhang, Y., Yang, S.: Time-aware cloud service recommendation using similarity-enhanced collaborative filtering and RIMA model. Decis. Support Syst. 107, 103\u2013115 (2018)","journal-title":"Decis. Support Syst."},{"issue":"5","key":"22_CR2","doi-asserted-by":"publisher","first-page":"311","DOI":"10.1109\/TSE.2004.11","volume":"30","author":"L Zeng","year":"2004","unstructured":"Zeng, L., Benatallah, B., Ngu, A.H., Dumas, M., Kalagnanam, J., Chang, H.: QoS-aware middleware for Web services composition. IEEE Trans. Softw. Eng. 30(5), 311\u2013327 (2004)","journal-title":"IEEE Trans. Softw. Eng."},{"key":"22_CR3","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"272","DOI":"10.1007\/978-3-319-69035-3_19","volume-title":"Service-Oriented Computing","author":"Y Wu","year":"2017","unstructured":"Wu, Y., Xie, F., Chen, L., Chen, C., Zheng, Z.: An embedding based factorization machine approach for web service QoS prediction. In: Maximilien, M., Vallecillo, A., Wang, J., Oriol, M. (eds.) ICSOC 2017. LNCS, vol. 10601, pp. 272\u2013286. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-69035-3_19"},{"issue":"6","key":"22_CR4","doi-asserted-by":"publisher","first-page":"3593","DOI":"10.3233\/IFS-162104","volume":"30","author":"K Su","year":"2016","unstructured":"Su, K., Ma, L., Xiao, B., Zhang, H.: Web service QoS prediction by neighbor information combined non-negative matrix factorization. J. Intell. Fuzzy Syst. 30(6), 3593\u20133604 (2016)","journal-title":"J. Intell. Fuzzy Syst."},{"issue":"2","key":"22_CR5","doi-asserted-by":"publisher","first-page":"140","DOI":"10.1109\/TSC.2010.52","volume":"4","author":"Z Zheng","year":"2011","unstructured":"Zheng, Z., Ma, H., Lyu, M.R., King, I.: QoS-aware Web service recommendation by collaborative filtering. IEEE Trans. Serv. Comput. 4(2), 140\u2013152 (2011)","journal-title":"IEEE Trans. Serv. Comput."},{"issue":"3","key":"22_CR6","doi-asserted-by":"publisher","first-page":"289","DOI":"10.1109\/TSC.2011.59","volume":"6","author":"Z Zheng","year":"2013","unstructured":"Zheng, Z., Ma, H., Lyu, M.R., King, I.: Collaborative web service QoS prediction via neighborhood integrated matrix factorization. IEEE Trans. Serv. Comput. 6(3), 289\u2013299 (2013)","journal-title":"IEEE Trans. Serv. Comput."},{"key":"22_CR7","doi-asserted-by":"crossref","unstructured":"Rendle, S.: Factorization machines. In: 2010 IEEE 10th International Conference on Data Mining (ICDM), pp. 995\u20131000. IEEE (2010)","DOI":"10.1109\/ICDM.2010.127"},{"key":"22_CR8","unstructured":"Harris, D., Harris, S.: Digital design and computer architecture, 2nd edn. Morgan Kaufmann, San Francisco (2012). p. 129. ISBN 978-0-12-394424-5, (2012-08-07)"},{"key":"22_CR9","doi-asserted-by":"crossref","unstructured":"Shao, L., Zhang, J., Wei, Y., Zhao, J., Xie, B., Mei, H.: Personalized QoS prediction for web services via collaborative filtering. In: IEEE International Conference on Web Services (ICWS 2007), Salt Lake City, UT, pp. 439\u2013446 (2007)","DOI":"10.1109\/ICWS.2007.140"},{"key":"22_CR10","first-page":"4","volume":"60","author":"B Athman","year":"2017","unstructured":"Athman, B., et al.: A service computing manifesto: the next 10 years. Commun. ACM 60, 4 (2017)","journal-title":"Commun. ACM"},{"issue":"2","key":"22_CR11","doi-asserted-by":"publisher","first-page":"162","DOI":"10.1504\/IJWGS.2016.076619","volume":"12","author":"M Kim","year":"2016","unstructured":"Kim, M., Oh, B., Jung, J., Lee, K.H.: Outlierrobust web service selection based on a probabilistic QoS model. Int. J. Web Grid Serv. 12(2), 162\u2013181 (2016)","journal-title":"Int. J. Web Grid Serv."},{"issue":"1","key":"22_CR12","doi-asserted-by":"publisher","first-page":"76","DOI":"10.1109\/MIC.2003.1167344","volume":"7","author":"G Linden","year":"2003","unstructured":"Linden, G., Smith, B., York, J.: Amazon.com recommendations: item-to-item collaborative filtering. IEEE Internet Comput. 7(1), 76\u201380 (2003)","journal-title":"IEEE Internet Comput."},{"issue":"10","key":"22_CR13","doi-asserted-by":"publisher","first-page":"2911","DOI":"10.1109\/TPDS.2017.2700796","volume":"28","author":"J Zhu","year":"2017","unstructured":"Zhu, J., He, P., Zheng, Z., Lyu, M.R.: Online QoS prediction for runtime service adaptation via adaptive matrix factorization. IEEE Trans. Parallel Distrib. Syst. 28(10), 2911\u20132924 (2017)","journal-title":"IEEE Trans. Parallel Distrib. Syst."},{"issue":"6","key":"22_CR14","doi-asserted-by":"publisher","first-page":"2697","DOI":"10.1007\/s11280-018-0544-7","volume":"22","author":"A Liu","year":"2018","unstructured":"Liu, A., et al.: Differential private collaborative Web services QoS prediction. World Wide Web 22(6), 2697\u20132720 (2018). https:\/\/doi.org\/10.1007\/s11280-018-0544-7","journal-title":"World Wide Web"},{"issue":"6","key":"22_CR15","doi-asserted-by":"publisher","first-page":"369","DOI":"10.1109\/TSE.2007.1011","volume":"33","author":"D Ardagna","year":"2007","unstructured":"Ardagna, D., Pernici, B.: Adaptive service composition in flexible processes. IEEE Trans. Softw. Eng. 33(6), 369\u2013384 (2007)","journal-title":"IEEE Trans. Softw. Eng."},{"key":"22_CR16","doi-asserted-by":"crossref","unstructured":"Alrifai, M., Risse, T.: Combining global optimization with local selection for efficient QoS-aware service composition. In: Proceedings of 18th International Conference on World Wide Web (WWW 2009), pp. 881\u2013890 (2009)","DOI":"10.1145\/1526709.1526828"},{"key":"22_CR17","doi-asserted-by":"crossref","unstructured":"Resnick, P., Iacovou, N., Suchak, M., Bergstrom, P., Riedl, J.: GroupLens: an open architecture for collaborative filtering of Netnews. In: Proceedings of ACM Conference Computer Supported Cooperative Work, pp. 175\u2013186 (1994)","DOI":"10.1145\/192844.192905"},{"key":"22_CR18","unstructured":"Salakhutdinov, R., Mnih, A.: Probabilistic matrix factorization. In: NIPS, vol. 1, pp. 2\u20131 (2007)"},{"key":"22_CR19","doi-asserted-by":"crossref","unstructured":"Zhang, W., Du, T., Wang, J.: Deep learning over multi-field categorical data \u2013 a case study on user response prediction. In: ECIR (2016)","DOI":"10.1007\/978-3-319-30671-1_4"}],"container-title":["Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","Collaborative Computing: Networking, Applications and Worksharing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-67540-0_22","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,24]],"date-time":"2021-04-24T13:33:25Z","timestamp":1619271205000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-67540-0_22"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030675394","9783030675400"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-67540-0_22","relation":{},"ISSN":["1867-8211","1867-822X"],"issn-type":[{"type":"print","value":"1867-8211"},{"type":"electronic","value":"1867-822X"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"22 January 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CollaborateCom","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Collaborative Computing: Networking, Applications and Worksharing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Shanghai","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","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":"16 October 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 October 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"colcom2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/collaboratecom.eai-conferences.org\/2020\/","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":"Confy+","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"211","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":"61","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":"16","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":"29% - 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":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"The conference was held virtually due to COVID-19 pandemic.","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)"}}]}}