{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T09:44:57Z","timestamp":1743068697226,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":20,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811675010"},{"type":"electronic","value":"9789811675027"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/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":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-981-16-7502-7_28","type":"book-chapter","created":{"date-parts":[[2021,10,29]],"date-time":"2021-10-29T09:06:55Z","timestamp":1635498415000},"page":"263-274","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Personalized Recommendation System of Web Academic Information Based on Big Data and Quality Monitoring Technology"],"prefix":"10.1007","author":[{"given":"Jieli","family":"Sun","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"YanXia","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pei","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"JianKe","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hao Wen","family":"Zhai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,10,30]]},"reference":[{"key":"28_CR1","unstructured":"China Internet Network Information Center. http:\/\/www.cnnic.net.cn\/"},{"key":"28_CR2","doi-asserted-by":"crossref","unstructured":"Resnick, P., Iakovou, N., Sushak, M., et al.: GroupLens: an open architecture for collaborative filtering of netnews. In: Proceedings of 1994 Computer Supported Cooperative Work Conference, Chapel Hill, pp. 175\u2013186 (1994)","DOI":"10.1145\/192844.192905"},{"key":"28_CR3","first-page":"3","volume-title":"The Intelligence Age","author":"W Jun","year":"2016","unstructured":"Jun, W.: The Intelligence Age, pp. 3\u201371. China Citicpress, Beijing (2016)"},{"key":"28_CR4","doi-asserted-by":"crossref","unstructured":"Chen, L.-C., Kuo, P.-J., Liao, I.-E.: Ontology-based library recommender system using MapReduce. Clust. Comput. 18(1), 113\u2013121 (2015)","DOI":"10.1007\/s10586-013-0342-z"},{"key":"28_CR5","unstructured":"Jin, Z.: Design and implementation of big data-based educational resources personalized recommendation system. University of the Chinese Academy of Sciences, Beijing (2015)"},{"issue":"2","key":"28_CR6","doi-asserted-by":"publisher","first-page":"150","DOI":"10.1287\/mnsc.31.2.150","volume":"31","author":"DP Ballou","year":"1985","unstructured":"Ballou, D.P., Pazer, H.L.: Modelling data and process quality in multi-input, multi-output information system. Manag. Sci. 31(2), 150\u2013162 (1985)","journal-title":"Manag. Sci."},{"key":"28_CR7","doi-asserted-by":"publisher","first-page":"349","DOI":"10.1016\/0167-9236(93)E0050-N","volume":"13","author":"YW Richard","year":"1995","unstructured":"Richard, Y.W., Reddy, M.P., Henry, B.K.: Toward quality data: an attribute-based approach. Decis. Support Syst. 13, 349\u2013372 (1995)","journal-title":"Decis. Support Syst."},{"key":"28_CR8","doi-asserted-by":"crossref","unstructured":"Yang, W.L., Diane, M.S.: A methodology for information quality assessment. Inf. Manag. 40, 133\u2013146 (2002)","DOI":"10.1016\/S0378-7206(02)00043-5"},{"issue":"3","key":"28_CR9","first-page":"93","volume":"20","author":"WL Yang","year":"2003","unstructured":"Yang, W.L.: Context-reflective data quality problem solving. J. Manag. Inf. Syst. 20(3), 93\u2013119 (2003)","journal-title":"J. Manag. Inf. Syst."},{"key":"28_CR10","doi-asserted-by":"publisher","first-page":"102","DOI":"10.1016\/j.ins.2015.03.013","volume":"311","author":"C Martinez-Cruz","year":"2015","unstructured":"Martinez-Cruz, C., Porcel, C., Bernabe-Moreno, J., Herrera-Viedma, E.: A model to represent users trust in recommender systems using ontologies and fuzzy linguistic modeling. Inf. Sci. 311, 102\u2013118 (2015)","journal-title":"Inf. Sci."},{"key":"28_CR11","unstructured":"Li, S., Xu, X., Xu, M.: The measures of books\u2019 recommending quality and personalized book recommendation service based on bipartite network of readers and books\u2019 lending relationship. J. Libr. Sci. China 38(205), 83\u201395 (2013)"},{"key":"28_CR12","unstructured":"Zhou, T.: Top ten challenges for personalized recommendations. Commun. CCF 8(7), 48\u201361 (2012)"},{"key":"28_CR13","unstructured":"Sarwar, B., Konstan, J., Riedl, J.: Incremental singular value decomposition algorithms for highly scalable recommender systems. In: International Conference on Computer and Information Science, pp. 27\u201328 (2002)"},{"key":"28_CR14","doi-asserted-by":"crossref","unstructured":"Chu, X., Cai, F., Cui, C., Hu, M., Li, L., Qin, Q.: Adaptive recommendation model using meta-learning for population-based algorithms. Inf. Sci. 192\u2013210 (2019)","DOI":"10.1016\/j.ins.2018.10.013"},{"key":"28_CR15","doi-asserted-by":"crossref","unstructured":"Wang, D., Liang, Y., Xu, D., Feng, X., Guan, R.: A content-based recommender system for computer science publications. Knowl. Based Syst. 1\u20137 (2019)","DOI":"10.1016\/j.knosys.2018.05.001"},{"key":"28_CR16","doi-asserted-by":"crossref","unstructured":"Zha, X., Zhang, J., Yan, Y.: Impacting factors of users\u2019 academic information seeking behavior in the context of microblogs: a dual-route perspective of information quality and information source credibility. J. Libr. Sci. China 41(217), 71\u201386 (2015)","DOI":"10.1037\/t47715-000"},{"key":"28_CR17","doi-asserted-by":"crossref","unstructured":"Kalczynski, P.J., Chou, A.: Temporal document retrieval model for business news archives. Inf. Process. Manag. 41(3), 635\u2013650 (2005)","DOI":"10.1016\/j.ipm.2004.01.002"},{"key":"28_CR18","doi-asserted-by":"crossref","unstructured":"Jiang, Z.: Chronological citation recommendation technology based on information-need shifting. Dalian Maritime University, Dalian (2015)","DOI":"10.1145\/2806416.2806567"},{"issue":"10","key":"28_CR19","doi-asserted-by":"publisher","first-page":"4511","DOI":"10.1073\/pnas.1000488107","volume":"107","author":"T Zhou","year":"2010","unstructured":"Zhou, T., Kuscsik, Z., Liu, J.-G., Medo, M., Wakeling, J.R., Zhang, Y.-C.: Solving the apparent diversity-accuracy dilemma of recommender systems. Proc. Natl. Acad. Sci. 107(10), 4511\u20134515 (2010)","journal-title":"Proc. Natl. Acad. Sci."},{"key":"28_CR20","unstructured":"Shi, C., Kaminsky, M., Gbbons, P.B., Xiao, F.:Dsybil: optimal sybil-resistance for recommendation systems. In: Proceeding of the 30th IEEE Symposium on Security and Privacy, pp. 281\u2013298. IEEE Press (2009)"}],"container-title":["Communications in Computer and Information Science","Data Mining and Big Data"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-16-7502-7_28","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,10,29]],"date-time":"2021-10-29T09:11:45Z","timestamp":1635498705000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-16-7502-7_28"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9789811675010","9789811675027"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-981-16-7502-7_28","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"30 October 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"DMBD","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Data Mining and Big Data","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Guangzhou","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":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 October 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 October 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"dmbd2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/nsclab.org\/dmbd2021\/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":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"258","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":"57","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":"28","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":"22% - 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":"2.5","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":"8","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)"}}]}}