{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,16]],"date-time":"2025-10-16T06:32:24Z","timestamp":1760596344696,"version":"3.40.3"},"publisher-location":"Cham","reference-count":22,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031217425"},{"type":"electronic","value":"9783031217432"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"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":[[2022]]},"DOI":"10.1007\/978-3-031-21743-2_50","type":"book-chapter","created":{"date-parts":[[2022,12,8]],"date-time":"2022-12-08T14:24:05Z","timestamp":1670509445000},"page":"623-634","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Fast and Accurate Evaluation of Collaborative Filtering Recommendation Algorithms"],"prefix":"10.1007","author":[{"given":"Nikolaos","family":"Polatidis","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stelios","family":"Kapetanakis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Elias","family":"Pimenidis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yannis","family":"Manolopoulos","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,12,9]]},"reference":[{"key":"50_CR1","doi-asserted-by":"crossref","unstructured":"Bobadilla, J., Ortega, F., Hernando, A., Guti\u00e9rrez, A.: Recommender systems survey. Knowl. Based Syst. 46, 109\u2013132 (2013)","DOI":"10.1016\/j.knosys.2013.03.012"},{"key":"50_CR2","doi-asserted-by":"publisher","first-page":"100","DOI":"10.1016\/j.eswa.2015.11.023","volume":"48","author":"N Polatidis","year":"2016","unstructured":"Polatidis, N., Georgiadis, C.K.: A multi-level collaborative filtering method that improves recommendations. Expert Syst. Appl. 48, 100\u2013110 (2016)","journal-title":"Expert Syst. Appl."},{"key":"50_CR3","doi-asserted-by":"crossref","unstructured":"Shojaei, M., Saneifar, H.: MFSR: a novel multi-level fuzzy similarity measure for recommender systems. Expert Syst. Appl. 177, 114969 (2021)","DOI":"10.1016\/j.eswa.2021.114969"},{"issue":"1","key":"50_CR4","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1145\/963770.963772","volume":"22","author":"JL Herlocker","year":"2004","unstructured":"Herlocker, J.L., Konstan, J.A., Terveen, L.G., Riedl, J.T.: Evaluating collaborative filtering recommender systems. ACM Trans. Inf. Syst. 22(1), 5\u201353 (2004)","journal-title":"ACM Trans. Inf. Syst."},{"key":"50_CR5","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1016\/j.csi.2016.10.014","volume":"51","author":"N Polatidis","year":"2017","unstructured":"Polatidis, N., Georgiadis, C.K.: A dynamic multi-level collaborative filtering method for improved recommendations. Comput. Stand. Interf. 51, 14\u201321 (2017)","journal-title":"Comput. Stand. Interf."},{"issue":"5","key":"50_CR6","doi-asserted-by":"publisher","first-page":"5101","DOI":"10.1016\/j.eswa.2010.09.141","volume":"38","author":"D Anand","year":"2011","unstructured":"Anand, D., Bharadwaj, K.K.: Utilizing various sparsity measures for enhancing accuracy of collaborative recommender systems based on local and global similarities. Expert Syst. Appl. 38(5), 5101\u20135109 (2011)","journal-title":"Expert Syst. Appl."},{"issue":"6","key":"50_CR7","doi-asserted-by":"publisher","first-page":"520","DOI":"10.1016\/j.knosys.2010.03.009","volume":"23","author":"J Bobadilla","year":"2010","unstructured":"Bobadilla, J., Serradilla, F., Bernal, J.: A new collaborative filtering metric that improves the behavior of recommender systems. Knowl. Based Syst. 23(6), 520\u2013528 (2010)","journal-title":"Knowl. Based Syst."},{"issue":"2","key":"50_CR8","doi-asserted-by":"publisher","first-page":"204","DOI":"10.1016\/j.ipm.2011.03.007","volume":"48","author":"J Bobadilla","year":"2012","unstructured":"Bobadilla, J., Ortega, F., Hernando, A.: A collaborative filtering similarity measure based on singularities. Inf. Process. Manage. 48(2), 204\u2013217 (2012)","journal-title":"Inf. Process. Manage."},{"key":"50_CR9","doi-asserted-by":"crossref","unstructured":"Gedikli, F., Bagdat, F., Ge, M., Jannach, D.: RF-REC: Fast and accurate computation of recommendations based on rating frequencies. In: 2011 IEEE 13th Conference on Commerce and Enterprise Computing, pp. 50\u201357. IEEE (2011)","DOI":"10.1109\/CEC.2011.24"},{"key":"50_CR10","doi-asserted-by":"publisher","first-page":"156","DOI":"10.1016\/j.knosys.2013.11.006","volume":"56","author":"H Liu","year":"2014","unstructured":"Liu, H., Hu, Z., Mian, A., Tian, H., Zhu, X.: A new user similarity model to improve the accuracy of collaborative filtering. Knowl. Based Syst. 56, 156\u2013166 (2014)","journal-title":"Knowl. Based Syst."},{"key":"50_CR11","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1016\/j.chb.2016.11.010","volume":"67","author":"MK Najafabadi","year":"2017","unstructured":"Najafabadi, M.K., Mahrin, M.N.R., Chuprat, S., Sarkan, H.M.: Improving the accuracy of collaborative filtering recommendations using clustering and association rules mining on implicit data. Comput. Hum. Behav. 67, 113\u2013128 (2017)","journal-title":"Comput. Hum. Behav."},{"key":"50_CR12","doi-asserted-by":"publisher","first-page":"507","DOI":"10.1016\/j.eswa.2017.09.058","volume":"92","author":"M Nilashi","year":"2018","unstructured":"Nilashi, M., Ibrahim, O., Bagherifard, K.: A recommender system based on collaborative filtering using ontology and dimensionality reduction techniques. Expert Syst. Appl. 92, 507\u2013520 (2018)","journal-title":"Expert Syst. Appl."},{"key":"50_CR13","unstructured":"Sarwar, B., Karypis, G., Konstan, J., Riedl, J.: Incremental singular value decomposition algorithms for highly scalable recommender systems. In: Fifth International Conference on Computer and Information Science, vol. 1, no. 012002, pp. 27\u20138 (2002)"},{"issue":"15","key":"50_CR14","doi-asserted-by":"publisher","first-page":"6861","DOI":"10.1016\/j.eswa.2014.05.001","volume":"41","author":"LH Son","year":"2014","unstructured":"Son, L.H.: HU-FCF: a hybrid user-based fuzzy collaborative filtering method in recommender systems. Expert Syst. Appl. Int. J. 41(15), 6861\u20136870 (2014)","journal-title":"Expert Syst. Appl. Int. J."},{"issue":"8","key":"50_CR15","doi-asserted-by":"publisher","first-page":"854","DOI":"10.1002\/int.21735","volume":"30","author":"W Wang","year":"2015","unstructured":"Wang, W., Zhang, G., Lu, J.: Collaborative filtering with entropy-driven user similarity in recommender systems. Int. J. Intell. Syst. 30(8), 854\u2013870 (2015)","journal-title":"Int. J. Intell. Syst."},{"key":"50_CR16","doi-asserted-by":"crossref","unstructured":"Wang, X., He, X., Wang, M., Feng, F., Chua, T.S.: Neural graph collaborative filtering. In: Proceedings of the 42nd international ACM SIGIR conference on Research and development in Information Retrieval, pp. 165\u2013174 (2019)","DOI":"10.1145\/3331184.3331267"},{"issue":"2","key":"50_CR17","doi-asserted-by":"publisher","first-page":"1281","DOI":"10.1007\/s10586-017-0807-6","volume":"20","author":"L Xiaojun","year":"2017","unstructured":"Xiaojun, L.: An improved clustering-based collaborative filtering recommendation algorithm. Clust. Comput. 20(2), 1281\u20131288 (2017). https:\/\/doi.org\/10.1007\/s10586-017-0807-6","journal-title":"Clust. Comput."},{"key":"50_CR18","doi-asserted-by":"crossref","unstructured":"Zarzour, H., Al-Sharif, Z., Al-Ayyoub, M., Jararweh, Y.: A new collaborative filtering recommendation algorithm based on dimensionality reduction and clustering techniques. In: 2018 9th International Conference on Information and Communication Systems (ICICS), pp. 102\u2013106. IEEE (2018)","DOI":"10.1109\/IACS.2018.8355449"},{"key":"50_CR19","doi-asserted-by":"crossref","unstructured":"Zhang, S., Yao, L., Xu, X.: AutoSVD++ an efficient hybrid collaborative filtering model via contractive auto-encoders. In: Proceedings of the 40th International ACM SIGIR conference on Research and Development in Information Retrieval, pp. 957\u2013960 (2017)","DOI":"10.1145\/3077136.3080689"},{"key":"50_CR20","unstructured":"Massa, P., Souren, K., Salvetti, M., Tomasoni, D.: Trustlet, open research on trust metrics. Scalable Comput. Pract. Exper. 9(4) (2008)"},{"key":"50_CR21","unstructured":"Dooms, S., De Pessemier, T., Martens, L.: Movietweetings: a movie rating dataset collected from twitter. In: Workshop on Crowdsourcing and human computation for recommender systems. CrowdRec at RecSys, vol. 2013, p. 43 (2013)"},{"key":"50_CR22","unstructured":"Funk, S. (2006). https:\/\/sifter.org\/~simon\/journal\/20061211.html"}],"container-title":["Lecture Notes in Computer Science","Intelligent Information and Database Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-21743-2_50","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T17:07:16Z","timestamp":1710263236000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-21743-2_50"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031217425","9783031217432"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-21743-2_50","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"9 December 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ACIIDS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Asian Conference on Intelligent Information and Database Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Ho Chi Minh City","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Vietnam","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 November 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 November 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aciids2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/aciids.pwr.edu.pl\/2022\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}