{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,15]],"date-time":"2026-06-15T17:09:15Z","timestamp":1781543355569,"version":"3.54.5"},"reference-count":103,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2023,7,12]],"date-time":"2023-07-12T00:00:00Z","timestamp":1689120000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,7,12]],"date-time":"2023-07-12T00:00:00Z","timestamp":1689120000000},"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":["Multimed Tools Appl"],"DOI":"10.1007\/s11042-023-15258-4","type":"journal-article","created":{"date-parts":[[2023,7,12]],"date-time":"2023-07-12T06:02:09Z","timestamp":1689141729000},"page":"15985-16018","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["A hybrid semantic recommender system enriched with an imputation method"],"prefix":"10.1007","volume":"83","author":[{"given":"Payam","family":"Bahrani","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Behrouz","family":"Minaei-Bidgoli","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hamid","family":"Parvin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mitra","family":"Mirzarezaee","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ahmad","family":"Keshavarz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,7,12]]},"reference":[{"key":"15258_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/NLPKE.2009.5313754","volume-title":"2009 International Conference on Natural Language Processing and Knowledge Engineering","author":"A Abdelwahab","year":"2009","unstructured":"Abdelwahab A, Sekiya H, Matsuba I, Horiuchi Y, Kuroiwa S, Nishida M (2009) An efficient collaborative filtering algorithm using SVD-free latent semantic indexing and particle swarm optimization. In: 2009 International Conference on Natural Language Processing and Knowledge Engineering, pp 1\u20134. https:\/\/doi.org\/10.1109\/NLPKE.2009.5313754"},{"key":"15258_CR2","doi-asserted-by":"publisher","unstructured":"Adomavicius G, Kwon Y (2007) New recommendation techniques for multicriteria rating systems. IEEE Intell Syst 22(3). https:\/\/doi.org\/10.1109\/MIS.2007.58","DOI":"10.1109\/MIS.2007.58"},{"issue":"6","key":"15258_CR3","doi-asserted-by":"crossref","first-page":"734","DOI":"10.1109\/TKDE.2005.99","volume":"17","author":"G Adomavicius","year":"2005","unstructured":"Adomavicius G, Tuzhilin A (2005) Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions. Knowl Data Eng IEEE Trans 17(6):734\u2013749","journal-title":"Knowl Data Eng IEEE Trans"},{"key":"15258_CR4","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-85820-3_7","volume-title":"Recommender systems handbook","author":"G Adomavicius","year":"2011","unstructured":"Adomavicius G, Tuzhilin A (2011) Context-aware recommender systems. In: Ricci F, Rokach L, Shapira B, Kantor P (eds) Recommender systems handbook. Springer, Boston. https:\/\/doi.org\/10.1007\/978-0-387-85820-3_7"},{"key":"15258_CR5","first-page":"635","volume-title":"RecSys 2020: fourteenth ACM conference on recommender systems, virtual event, Brazil, September 22\u201326, 2020","author":"G Adomavicius","year":"2020","unstructured":"Adomavicius G, Bauman K, Mobasher B, Ricci F, Tuzhilin A, Unger M (2020) Workshop on context-aware recommender systems. In: Santos RLT, Marinho LB, Daly EM, Chen L, Falk K, Koenigstein N, de Moura ES (eds) RecSys 2020: fourteenth ACM conference on recommender systems, virtual event, Brazil, September 22\u201326, 2020. ACM, New York, pp 635\u2013637"},{"key":"15258_CR6","first-page":"534","volume-title":"Proceedings of the 14th annual conference of the cognitive science society","author":"DW Aha","year":"1992","unstructured":"Aha DW, Goldstone RL (1992) Concept learning and flexible weighting. In: Proceedings of the 14th annual conference of the cognitive science society. Erlbaum, Hillsdale, pp 534\u2013539"},{"key":"15258_CR7","doi-asserted-by":"publisher","first-page":"175","DOI":"10.1016\/j.knosys.2016.03.006]","volume":"100","author":"MYH Al-Shamri","year":"2016","unstructured":"Al-Shamri MYH (2016) User profiling approaches for demographic recommender systems. Knowl-Based Syst 100:175\u2013187. https:\/\/doi.org\/10.1016\/j.knosys.2016.03.006]","journal-title":"Knowl-Based Syst"},{"key":"15258_CR8","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/11577935_1","volume-title":"Proceedings of the 2003 international conference on intelligent techniques for web personalization","author":"SS Anand","year":"2003","unstructured":"Anand SS, Mobasher B (2003) Intelligent techniques for web personalization. In: Proceedings of the 2003 international conference on intelligent techniques for web personalization, pp 1\u201336. https:\/\/doi.org\/10.1007\/11577935_1"},{"issue":"4","key":"15258_CR9","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1145\/1278366.1278371","volume":"7","author":"SS Anand","year":"2007","unstructured":"Anand SS, Kearney P, Shapcott M (2007) Generating semantically enriched user profiles for web personalization. ACM Trans Int Technol (TOIT) 7(4):22","journal-title":"ACM Trans Int Technol (TOIT)"},{"key":"15258_CR10","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-306-47630-3","volume-title":"Principles of forecasting: a handbook for researchers and practitioners","author":"JS Armstrong","year":"2001","unstructured":"Armstrong JS (2001) Principles of forecasting: a handbook for researchers and practitioners, vol 30. Springer Science & Business Media. https:\/\/doi.org\/10.1007\/978-0-306-47630-3"},{"issue":"8","key":"15258_CR11","doi-asserted-by":"publisher","first-page":"1772","DOI":"10.1016\/j.tele.2017.08.008","volume":"34","author":"K Bagherifard","year":"2017","unstructured":"Bagherifard K, Rahmani M, Nilashi M, Rafe V (2017) Performance improvement for recommender systems using ontology. Telematics Informatics 34(8):1772\u20131792. https:\/\/doi.org\/10.1016\/j.tele.2017.08.008","journal-title":"Telematics Informatics"},{"issue":"4","key":"15258_CR12","doi-asserted-by":"crossref","first-page":"4471","DOI":"10.3233\/JIFS-191225","volume":"38","author":"P Bahrani","year":"2020","unstructured":"Bahrani P, Minaei-Bidgoli B, Parvin H, Mirzarezaee M, Keshavarz A, Alinejad-Rokny H (2020) User and item profile expansion for dealing with cold start problem. J Intell Fuzzy Syst 38(4):4471\u20134483","journal-title":"J Intell Fuzzy Syst"},{"key":"15258_CR13","doi-asserted-by":"crossref","unstructured":"Bambini R, Cremonesi P, Turrin R (2011) A recommender system for an IPTV service provider: a real large-scale production environment. In: Recommender systems handbook. Springer, pp 299\u2013331","DOI":"10.1007\/978-0-387-85820-3_9"},{"key":"15258_CR14","doi-asserted-by":"publisher","first-page":"14609","DOI":"10.1016\/j.eswa.2011.05.021","volume":"38","author":"A Bobadilla","year":"2011","unstructured":"Bobadilla A, Hernando FO, Bernal J (2011) A framework for collaborative filtering recommender systems. Expert Syst Appl 38:14609\u201314623. https:\/\/doi.org\/10.1016\/j.eswa.2011.05.021","journal-title":"Expert Syst Appl"},{"key":"15258_CR15","doi-asserted-by":"crossref","unstructured":"Bennett J, Lanning S (2007) The netflix prize, In KDD Cup and Workshop in Conjunction with KDD","DOI":"10.1145\/1345448.1345459"},{"key":"15258_CR16","unstructured":"Bilgic M, Mooney R (2005) Explaining Recommendations: Satisfaction vs. Promotion. Conference: Proceedings of Beyond Personalization 2005: A Workshop on the Next Stage of Recommender Systems Research at the 2005 International Conference on Intelligent User Interfaces"},{"issue":"12","key":"15258_CR17","doi-asserted-by":"crossref","first-page":"14609","DOI":"10.1016\/j.eswa.2011.05.021","volume":"38","author":"J Bobadilla","year":"2011","unstructured":"Bobadilla J, Hernando A, Ortega F, Bernal J (2011) A framework for collaborative filtering recommender systems. Expert Syst Appl 38(12):14609\u201314623","journal-title":"Expert Syst Appl"},{"key":"15258_CR18","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1016\/j.knosys.2013.06.010","volume":"51","author":"J Bobadilla","year":"2013","unstructured":"Bobadilla J, Ortega F, Hernando A, deRivera GG (2013a) A similarity metric designed to speed up, using hardware, the recommender systems k-nearest neighbors algorithm. Knowl-Based Syst 51:27\u201334","journal-title":"Knowl-Based Syst"},{"issue":"0","key":"15258_CR19","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1016\/j.knosys.2013.03.012","volume":"46","author":"J Bobadilla","year":"2013","unstructured":"Bobadilla J, Ortega F, Hernando A, Gutierrez A (2013b) Recommend Syst Surv Knowl Based Syst 46(0):109\u2013132","journal-title":"Recommend Syst Surv Knowl Based Syst"},{"key":"15258_CR20","doi-asserted-by":"publisher","first-page":"136","DOI":"10.1016\/j.procs.2015.04.237","volume":"49","author":"D Bokde","year":"2015","unstructured":"Bokde D, Girase S, Mukhopadhyay D (2015) Matrix factorization model in collaborative filtering algorithms: a survey. Procedia Comput Sci 49:136\u2013146. https:\/\/doi.org\/10.1016\/j.procs.2015.04.237","journal-title":"Procedia Comput Sci"},{"key":"15258_CR21","unstructured":"Breese, JS, Heckerman, D, Kadie, C (1998) Empirical analysis of predictive algorithms for collaborative filtering. Paper presented at the Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence"},{"key":"15258_CR22","unstructured":"Buitelaar, P, Cimiano, P, Magnini, B (2005) Ontology learning from text: methods, evaluation and applications (Vol. 123): IOS press"},{"key":"15258_CR23","doi-asserted-by":"publisher","first-page":"331","DOI":"10.1023\/A:1021240730564","volume":"12","author":"R Burke","year":"2002","unstructured":"Burke R (2002) Hybrid recommender systems: survey and experiments. User Model User-Adap Inter 12:331\u2013370. https:\/\/doi.org\/10.1023\/A:1021240730564","journal-title":"User Model User-Adap Inter"},{"key":"15258_CR24","doi-asserted-by":"crossref","unstructured":"Burke, R (2007a) Hybrid web recommender systems the adaptive web (pp. 377\u2013408): Springer","DOI":"10.1007\/978-3-540-72079-9_12"},{"key":"15258_CR25","series-title":"Lecture notes in computer science","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-72079-9_12","volume-title":"The adaptive web","author":"R Burke","year":"2007","unstructured":"Burke R (2007) Hybrid Web Recommender Systems. In: Brusilovsky P, Kobsa A, Nejdl W (eds) The adaptive web. Lecture notes in computer science, vol 4321. Springer, Berlin, Heidelberg. https:\/\/doi.org\/10.1007\/978-3-540-72079-9_12"},{"key":"15258_CR26","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1016\/j.knosys.2018.05.040","volume":"158","author":"S Chen","year":"2018","unstructured":"Chen S, Peng Y (2018) Matrix factorization for recommendation with explicit and implicit feedback. Knowl-Based Syst 158:109\u2013117","journal-title":"Knowl-Based Syst"},{"key":"15258_CR27","doi-asserted-by":"crossref","first-page":"290","DOI":"10.1016\/j.asoc.2013.09.004","volume":"18","author":"L-C Cheng","year":"2014","unstructured":"Cheng L-C, Wang H-A (2014) A fuzzy recommender system based on the integration of subjective preferences and objective information. Appl Soft Comput 18:290\u2013301","journal-title":"Appl Soft Comput"},{"key":"15258_CR28","doi-asserted-by":"crossref","unstructured":"Cremonesi P, Koren Y, Turrin R (2010) Performance of recommender algorithms on top-nrecommendation tasks. In: Proceedings of the fourth ACM conference on Recommender systems. ACM, pp 39\u201346","DOI":"10.1145\/1864708.1864721"},{"key":"15258_CR29","first-page":"271","volume-title":"Google news personalization: scalable online collaborative filtering, in proceedings of the 16th international conference on world wide web, WWW\u201907","author":"AS Das","year":"2007","unstructured":"Das AS, Datar M, Garg A, Rajaram S (2007) Google news personalization: scalable online collaborative filtering, in proceedings of the 16th international conference on world wide web, WWW\u201907. Association for Computing Machinery, New York, pp 271\u2013280"},{"key":"15258_CR30","doi-asserted-by":"publisher","unstructured":"Dixon JK (1979) Pattern recognition with partly missing data. IEEE Trans Syst Man Cybern 9(10):617\u2013621. https:\/\/doi.org\/10.1109\/TSMC.1979.4310090.","DOI":"10.1109\/TSMC.1979.4310090"},{"issue":"8","key":"15258_CR31","first-page":"1377","volume":"10","author":"A Ebadi","year":"2016","unstructured":"Ebadi A, Krzyzak A (2016) A hybrid multi-criteria hotel recommender system using explicit and implicit feedbacks. World Acad Sci Eng Technol Int J Comput Electric Autom Control Inf Eng 10(8):1377\u20131385","journal-title":"World Acad Sci Eng Technol Int J Comput Electric Autom Control Inf Eng"},{"key":"15258_CR32","unstructured":"Ekstrand MD, Harper FM, Willemsen MC, Konstan JA (2014) User perception of differences in recommender algorithms, in Eighth ACM conference on recommender systems, RecSys \u201814, Foster City, Silicon Valley, CA, 06\u201310 Oct 2014, pp. 161\u2013168"},{"key":"15258_CR33","doi-asserted-by":"crossref","unstructured":"Feely C, Caulfield B, Lawlor A, Smyth B (2020) Using case-based reasoning to predict marathon performance and recommend tailored training plans, in Case-based reasoning Research and Development - 28th international conference, ICCBR 2020, Salamanca, Spain, June 8\u201312, 2020, ed. by I. Watson, R.O. Weber. Lecture Notes in Computer Science, vol. 12311 Springer, New York, pp. 67\u201381","DOI":"10.1007\/978-3-030-58342-2_5"},{"issue":"7","key":"15258_CR34","doi-asserted-by":"publisher","first-page":"749","DOI":"10.1117\/12.7977031","volume":"28","author":"Y-S Fong","year":"1989","unstructured":"Fong Y-S, Pomalaza-Raez CA, Wang X-H (1989) Comparison study of nonlinear filters in image processing applications. Opt Eng 28(7):749. https:\/\/doi.org\/10.1117\/12.7977031","journal-title":"Opt Eng"},{"key":"15258_CR35","doi-asserted-by":"publisher","first-page":"99312","DOI":"10.1109\/ACCESS.2020.2997387","volume":"8","author":"A-J Gallego","year":"2020","unstructured":"Gallego A-J, Calvo-Zaragoza J, Rico-Juan JR (2020) Insights into efficient k-nearest neighbor classification with convolutional neural codes. IEEE Access 8:99312\u201399326. https:\/\/doi.org\/10.1109\/ACCESS.2020.2997387","journal-title":"IEEE Access"},{"issue":"4","key":"15258_CR36","doi-asserted-by":"publisher","first-page":"418","DOI":"10.1504\/IJAIP.2009.026762","volume":"1","author":"A Garcia-Crespo","year":"2009","unstructured":"Garcia-Crespo A, Gomez-Berbis JM, Colomo-Palacios R, Garcia-Sanchez F (2009) Using support vector machines for feature-oriented profile-based recommendations. Int J Adv Intell Paradig 1(4):418\u2013431. https:\/\/doi.org\/10.1504\/IJAIP.2009.026762","journal-title":"Int J Adv Intell Paradig"},{"key":"15258_CR37","first-page":"25","volume":"1995","author":"P Giaretta","year":"1995","unstructured":"Giaretta P (1995) Ontologies and knowledge bases towards a terminological clarification. Towards very large knowledge bases. Knowl Build Knowl Sharing 1995:25","journal-title":"Knowl Build Knowl Sharing"},{"issue":"12","key":"15258_CR38","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1145\/138859.138867","volume":"35","author":"D Goldberg","year":"1992","unstructured":"Goldberg D, Nichols D, Oki BM, Terry D (1992) Using collaborative filtering to weave an information tapestry. Commun ACM 35(12):61\u201370. https:\/\/doi.org\/10.1145\/138859.138867","journal-title":"Commun ACM"},{"issue":"2","key":"15258_CR39","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1023\/A:1011419012209","volume":"4","author":"K Goldberg","year":"2001","unstructured":"Goldberg K, Roeder T, Gupta D, Perkins C (2001) Eigentaste: a constant time collaborative filtering algorithm. Inf Retr 4(2):133\u2013151","journal-title":"Inf Retr"},{"issue":"7","key":"15258_CR40","doi-asserted-by":"crossref","first-page":"745","DOI":"10.4304\/jsw.5.7.745-752","volume":"5","author":"S Gong","year":"2010","unstructured":"Gong S (2010) A collaborative filtering recommendation algorithm based on user clustering and item clustering. J Softw 5(7):745\u2013752","journal-title":"J Softw"},{"issue":"Dec","key":"15258_CR41","first-page":"2935","volume":"10","author":"A Gunawardana","year":"2009","unstructured":"Gunawardana A, Shani G (2009) A survey of accuracy evaluation metrics of recommendation tasks. J Mach Learn Res 10(Dec):2935\u20132962","journal-title":"J Mach Learn Res"},{"key":"15258_CR42","doi-asserted-by":"publisher","first-page":"118","DOI":"10.1109\/ISCCS.2011.40","volume-title":"Computer science and society (ISCCS), 2011 international symposium","author":"Y He","year":"2011","unstructured":"He Y, Yang S, Jiao C (2011) A hybrid collaborative filtering recommendation algorithm for solving the data sparsity. In: Computer science and society (ISCCS), 2011 international symposium, pp 118\u2013121. https:\/\/doi.org\/10.1109\/ISCCS.2011.40"},{"key":"15258_CR43","volume-title":"Paper presented at the proceedings of the 14th conference on computational linguistics-volume 2","author":"MA Hearst","year":"1992","unstructured":"Hearst MA (1992) Automatic acquisition of hyponyms from large text corpora. In: Paper presented at the proceedings of the 14th conference on computational linguistics-volume 2"},{"key":"15258_CR44","doi-asserted-by":"publisher","unstructured":"Iaquinta L, De Gemmis M, Lops P, Semeraro G, Filannino M, Molino P (2008) Introducing serendipity in a content-based recommender system. In: Hybrid intelligent systems, 2008. HIS'08. Eighth international conference, pp 168\u2013173. https:\/\/doi.org\/10.1109\/HIS.2008.25","DOI":"10.1109\/HIS.2008.25"},{"key":"15258_CR45","doi-asserted-by":"crossref","unstructured":"Jannach, D, Zanker, M, Felfernig, A, Friedrich, G (2010) Recommender systems: an introduction. Cambridge University Press","DOI":"10.1017\/CBO9780511763113"},{"key":"15258_CR46","doi-asserted-by":"crossref","unstructured":"Jawaheer, G, Szomszor, M, Kostkova, P (2010) Comparison of implicit and explicit feedback from an online music recommendation service. Paper presented at the proceedings of the 1st international workshop on information heterogeneity and fusion in recommender systems.","DOI":"10.1145\/1869446.1869453"},{"key":"15258_CR47","doi-asserted-by":"crossref","unstructured":"Ji K, Sun R, Li X, Shu W (2016) Improving matrix approximation for recommendation via a clustering-based reconstructive method. Neurocomputing 173(Part 3):912\u2013920","DOI":"10.1016\/j.neucom.2015.08.046"},{"key":"15258_CR48","doi-asserted-by":"crossref","unstructured":"Jiang, R (2013) From Ontology to Semantic Similarity: Calculation of Ontology-Based Semantic Similarity The Scientific World Journal, 2013","DOI":"10.1155\/2013\/793091"},{"key":"15258_CR49","series-title":"Lecture notes in computer science","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-29249-2_10","volume-title":"Case-based reasoning Research and Development. ICCBR 2019","author":"J Jorro-Aragoneses","year":"2019","unstructured":"Jorro-Aragoneses J, Caro-Martinez M, Recio-Garcia JA, Diaz-Agudo B, Jimenez-Diaz G (2019) Personalized case-based explanation of matrix factorization recommendations. In: Bach K, Marling C (eds) Case-based reasoning Research and Development. ICCBR 2019, Lecture notes in computer science, vol 11680. Springer, Cham. https:\/\/doi.org\/10.1007\/978-3-030-29249-2_10"},{"issue":"6","key":"15258_CR50","doi-asserted-by":"crossref","first-page":"843","DOI":"10.1109\/76.785721","volume":"9","author":"JM Jou","year":"1999","unstructured":"Jou JM, Chen P-Y, Sun J-M (1999) The gray prediction search algorithm for block motion estimation. IEEE Trans Circuits Syst Video Technol 9(6):843\u2013848","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"key":"15258_CR51","first-page":"1","volume":"1","author":"D Julong","year":"1989","unstructured":"Julong D (1989) Introduction to grey system theory. J Grey Syst 1:1\u201324","journal-title":"J Grey Syst"},{"key":"15258_CR52","series-title":"Lecture notes in computer science()","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-16272-6_4","volume-title":"High-performance modelling and simulation for big data applications","author":"I Kilanioti","year":"2019","unstructured":"Kilanioti I, Fern\u00e1ndez-Montes A, Fern\u00e1ndez-Cerero D, Karageorgos A (2019) Towards efficient and scalable data-intensive content delivery: state-of-the-art, issues and challenges. In: Ko\u0142odziej J, Gonz\u00e1lez-V\u00e9lez H (eds) High-performance modelling and simulation for big data applications, Lecture notes in computer science(), vol 11400. Springer, Cham. https:\/\/doi.org\/10.1007\/978-3-030-16272-6_4"},{"key":"15258_CR53","first-page":"426","volume-title":"Factorization meets the neighborhood: a multifaceted collaborative filtering model, in proceedings of the 14th ACM SIGKDD international conference on knowledge discovery and data mining, KDD\u201908","author":"Y Koren","year":"2008","unstructured":"Koren Y (2008) Factorization meets the neighborhood: a multifaceted collaborative filtering model, in proceedings of the 14th ACM SIGKDD international conference on knowledge discovery and data mining, KDD\u201908. Association for Computing Machinery, New York, pp 426\u2013434"},{"issue":"1","key":"15258_CR54","doi-asserted-by":"crossref","first-page":"76","DOI":"10.1109\/MIC.2003.1167344","volume":"7","author":"G Linden","year":"2003","unstructured":"Linden G, Smith B, York J (2003) Amazon.com recommendations: item-to-item collaborative filtering. Int Comput IEEE 7(1):76\u201380","journal-title":"Int Comput IEEE"},{"key":"15258_CR55","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1145\/2043932.2043950","volume-title":"RecSys '11: proceedings of the fifth ACM conference on recommender systems","author":"L Liu","year":"2011","unstructured":"Liu L, Mehandjiev N, Xu DL (2011) Multi-criteria service recommendation based on user criteria preferences. In: RecSys '11: proceedings of the fifth ACM conference on recommender systems, pp 77\u201384. https:\/\/doi.org\/10.1145\/2043932.2043950"},{"key":"15258_CR56","doi-asserted-by":"crossref","unstructured":"Liu R, Chen M, Wang Q, Li X (2020) Robust rank constrained sparse learning: a graph-based method for clustering. ICASSP : 4217\u20134221","DOI":"10.1109\/ICASSP40776.2020.9054480"},{"issue":"2","key":"15258_CR57","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1109\/TIT.1982.1056489","volume":"28","author":"S Lloyd","year":"1982","unstructured":"Lloyd S (1982) Least squares quantization in PCM. IEEE Trans Inf Theory 28(2):129\u2013137","journal-title":"IEEE Trans Inf Theory"},{"key":"15258_CR58","doi-asserted-by":"crossref","unstructured":"Lops, P, De Gemmis, M, Semeraro, G (2011a) Content-based recommender systems: state of the art and trends. In Recommender systems handbook (pp. 73\u2013105). Springer US","DOI":"10.1007\/978-0-387-85820-3_3"},{"key":"15258_CR59","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1007\/978-0-387-85820-3_3","volume-title":"Recommender Systems Handbook","author":"P Lops","year":"2011","unstructured":"Lops P, de Gemmis M, Semeraro G (2011b) Content-based recommender systems: state of the art and trends. In: Ricci F, Rokach L, Shapira B, Kantor PB (eds) Recommender Systems Handbook. Springer, New York, pp 73\u2013105"},{"key":"15258_CR60","unstructured":"MacQueen, J (1967) Some methods for classification and analysis of multivariate observations. In proceedings of the fifth Berkeley symposium on mathematical statistics and probability (Vol. 1, no. 14, pp. 281-297)"},{"key":"15258_CR61","series-title":"Lecture notes in computer science()","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-45810-7_24","volume-title":"Knowledge engineering and knowledge management: ontologies and the semantic web. EKAW 2002","author":"A Maedche","year":"2002","unstructured":"Maedche A, Staab S (2002) Measuring similarity between ontologies. In: G\u00f3mez-P\u00e9rez A, Benjamins VR (eds) Knowledge engineering and knowledge management: ontologies and the semantic web. EKAW 2002, Lecture notes in computer science(), vol 2473. Springer, Berlin, Heidelberg. https:\/\/doi.org\/10.1007\/3-540-45810-7_24"},{"key":"15258_CR62","first-page":"267","volume-title":"Collaborative filtering and the missing at random assumption, in proceedings of the twenty-third conference on uncertainty in artificial intelligence, UAI\u201907","author":"BM Marlin","year":"2007","unstructured":"Marlin BM, Zemel RS, Roweis S, Slaney M (2007) Collaborative filtering and the missing at random assumption, in proceedings of the twenty-third conference on uncertainty in artificial intelligence, UAI\u201907. AUAI Press, Arlington, pp 267\u2013275"},{"key":"15258_CR63","doi-asserted-by":"publisher","unstructured":"McSherry F, Mironov I (2009) Differentially private recommender systems: building privacy into the netflix prize contenders. In: Proceedings of the 15th ACM SIGKDD international conference on knowledge discovery and data mining, pp 627\u2013636. https:\/\/doi.org\/10.1145\/1557019.1557090","DOI":"10.1145\/1557019.1557090"},{"key":"15258_CR64","first-page":"475","volume-title":"Semantic web evaluation challenge. Communications in Computer and Information Science","author":"R Meymandpour","year":"2014","unstructured":"Meymandpour R, Davis J (2014) Lodify: a hybrid recommender system based on linked open data. In: Semantic web evaluation challenge. Communications in Computer and Information Science, p 475"},{"issue":"1","key":"15258_CR65","doi-asserted-by":"crossref","first-page":"54","DOI":"10.1145\/963770.963773","volume":"22","author":"SE Middleton","year":"2004","unstructured":"Middleton SE, Shadbolt NR, De Roure DC (2004) Ontological user profiling in recommender systems. ACM Trans Inf Syst (TOIS) 22(1):54\u201388","journal-title":"ACM Trans Inf Syst (TOIS)"},{"key":"15258_CR66","doi-asserted-by":"publisher","first-page":"285","DOI":"10.1023\/A:1022850703159","volume":"19","author":"M Montaner","year":"2003","unstructured":"Montaner M, L\u00f3pez B, De La Rosa JL (2003) A taxonomy of recommender agents on the internet. Artif Intell Rev 19:285\u2013330. https:\/\/doi.org\/10.1023\/A:1022850703159","journal-title":"Artif Intell Rev"},{"key":"15258_CR67","doi-asserted-by":"publisher","first-page":"195","DOI":"10.1145\/336597.336662","volume-title":"DL '00: proceedings of the fifth ACM conference on digital libraries","author":"RJ Mooney","year":"2000","unstructured":"Mooney RJ, Roy L (2000) Content-based book recommending using learning for text categorization. In: DL '00: proceedings of the fifth ACM conference on digital libraries, pp 195\u2013204. https:\/\/doi.org\/10.1145\/336597.336662"},{"key":"15258_CR68","doi-asserted-by":"publisher","first-page":"1344","DOI":"10.1287\/mnsc.49.10.1344.17313","volume":"49","author":"B Murthi","year":"2003","unstructured":"Murthi B, Sarkar S (2003) The role of the management sciences in research on personalization. Manag Sci 49:1344\u20131362. https:\/\/doi.org\/10.1287\/mnsc.49.10.1344.17313","journal-title":"Manag Sci"},{"issue":"8","key":"15258_CR69","doi-asserted-by":"crossref","first-page":"3879","DOI":"10.1016\/j.eswa.2013.12.023","volume":"41","author":"M Nilashi","year":"2014","unstructured":"Nilashi M, Bin Ibrahim O, Ithnin N (2014a) Hybrid recommendation approaches for multi-criteria collaborative filtering. Expert Syst Appl 41(8):3879\u20133900","journal-title":"Expert Syst Appl"},{"key":"15258_CR70","doi-asserted-by":"crossref","first-page":"82","DOI":"10.1016\/j.knosys.2014.01.006","volume":"60","author":"M Nilashi","year":"2014","unstructured":"Nilashi M, Bin Ibrahim O, Ithnin N (2014b) Multi-criteria collaborative filtering with high accuracy using higher order singular value decomposition and neuro-fuzzy system. Knowl-Based Syst 60:82\u2013101","journal-title":"Knowl-Based Syst"},{"issue":"6","key":"15258_CR71","doi-asserted-by":"crossref","first-page":"542","DOI":"10.1016\/j.elerap.2015.08.004","volume":"14","author":"M Nilashi","year":"2015","unstructured":"Nilashi M, Bin Ibrahim O, Ithnin N, Sarmin NH (2015) A multi-criteria collaborative filtering recommender system for the tourism domain using Expectation Maximization (EM) and PCA-ANFIS. Electron. Commer Res Appl 14(6):542\u2013562","journal-title":"Electron. Commer Res Appl"},{"key":"15258_CR72","doi-asserted-by":"crossref","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 (2018) A recommender system based on collaborative filtering using ontology and dimensionality reduction techniques. Expert Syst Appl 92:507\u2013520","journal-title":"Expert Syst Appl"},{"key":"15258_CR73","doi-asserted-by":"publisher","first-page":"614","DOI":"10.1007\/s10489-015-0666-x","volume":"43","author":"R Pan","year":"2015","unstructured":"Pan R, Yang T, Cao J et al (2015) Missing data imputation by K nearest neighbours based on grey relational structure and mutual information. Appl Intell 43:614\u2013632. https:\/\/doi.org\/10.1007\/s10489-015-0666-x","journal-title":"Appl Intell"},{"key":"15258_CR74","doi-asserted-by":"crossref","first-page":"300","DOI":"10.1016\/j.eswa.2017.04.046","volume":"83","author":"TK Paradarami","year":"2017","unstructured":"Paradarami TK, Bastian ND, Wightman JL (2017) A hybrid recommender system using artificial neural networks. Expert Syst Appl 83:300\u2013313","journal-title":"Expert Syst Appl"},{"issue":"11","key":"15258_CR75","doi-asserted-by":"crossref","first-page":"10059","DOI":"10.1016\/j.eswa.2012.02.038","volume":"39","author":"DH Park","year":"2012","unstructured":"Park DH, Kim HK, Choi IY, Kim JK (2012) A literature review and classification of recommender systems research. Expert Syst Appl 39(11):10059\u201310072","journal-title":"Expert Syst Appl"},{"issue":"3","key":"15258_CR76","doi-asserted-by":"crossref","first-page":"313","DOI":"10.1023\/A:1007369909943","volume":"27","author":"M Pazzani","year":"1997","unstructured":"Pazzani M, Billsus D (1997) Learning and revising user profiles: the identification of interesting web sites. Mach Learn 27(3):313\u2013331","journal-title":"Mach Learn"},{"key":"15258_CR77","first-page":"583","volume":"17","author":"MC Pham","year":"2011","unstructured":"Pham MC, Cao Y, Klamma RM, Jarke A (2011) Clustering approach for collaborative filtering recommendation using social network analysis. J UCS 17:583\u2013604","journal-title":"J UCS"},{"key":"15258_CR78","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1016\/j.knosys.2015.03.006","volume":"83","author":"P Pirasteh","year":"2015","unstructured":"Pirasteh P, Hwang D, Jung JJ (2015) Exploiting matrix factorization to asymmetric user similarities in recommendation systems. Knowl-Based Syst 83:51\u201357. https:\/\/doi.org\/10.1016\/j.knosys.2015.03.006","journal-title":"Knowl-Based Syst"},{"key":"15258_CR79","doi-asserted-by":"crossref","unstructured":"Powell, MJD (1981) Approximation theory and methods: Cambridge university press","DOI":"10.1017\/CBO9781139171502"},{"key":"15258_CR80","doi-asserted-by":"publisher","first-page":"175","DOI":"10.1145\/192844.192905","volume-title":"CSCW '94: proceedings of the 1994 ACM conference on computer supported cooperative work","author":"P Resnick","year":"1994","unstructured":"Resnick P, Iacovou N, Suchak M, Bergstrom P, Riedl J (1994) GroupLens: an open architecture for collaborative filtering of netnews. In: CSCW '94: Proceedings of the 1994 ACM conference on computer supported cooperative work, pp 175\u2013186. https:\/\/doi.org\/10.1145\/192844.192905"},{"key":"15258_CR81","volume-title":"Encyclopedia of social network analysis and mining","author":"F Ricci","year":"2018","unstructured":"Ricci F (2018) Recommender systems: models and techniques. In: Alhajj R, Rokne JG (eds) Encyclopedia of social network analysis and mining, 2nd edn. Springer, New York","edition":"2"},{"issue":"4","key":"15258_CR82","first-page":"329","volume":"3","author":"E Rich","year":"1979","unstructured":"Rich E (1979) User modeling via stereotypes. Cogn Sci 3(4):329\u2013354","journal-title":"Cogn Sci"},{"key":"15258_CR83","unstructured":"Salton, G (1989) Automatic text processing: the transformation, analysis, and retrieval of: Addison-Wesley"},{"key":"15258_CR84","unstructured":"Sarwar, BM, Karypis, G, Konstan, J, Riedl, J (2002) Recommender systems for large-scale e-commerce: scalable neighborhood formation using clustering. Paper presented at the Proceedings of the fifth international conference on computer and information technology"},{"key":"15258_CR85","doi-asserted-by":"crossref","unstructured":"Schafer, JB, Frankowski, D, Herlocker, J, Sen, S (2007) Collaborative filtering recommender systems the adaptive web (pp. 291\u2013324): Springer","DOI":"10.1007\/978-3-540-72079-9_9"},{"issue":"04","key":"15258_CR86","doi-asserted-by":"publisher","first-page":"38","DOI":"10.1109\/MITP.2009.76","volume":"11","author":"B Shapira","year":"2009","unstructured":"Shapira B, Arazy O, Kumar N (2009) Improving social recommender systems. IT Professional 11(04):38\u201344. https:\/\/doi.org\/10.1109\/MITP.2009.76","journal-title":"IT Professional"},{"issue":"1","key":"15258_CR87","doi-asserted-by":"crossref","first-page":"1381","DOI":"10.1016\/j.eswa.2011.08.020","volume":"39","author":"SK Shinde","year":"2012","unstructured":"Shinde SK, Kulkarni U (2012) Hybrid personalized recommender system using centering-bunching based clustering algorithm. Expert Syst Appl 39(1):1381\u20131387","journal-title":"Expert Syst Appl"},{"key":"15258_CR88","first-page":"212","volume":"2015","author":"SK Solanki","year":"2015","unstructured":"Solanki SK, Patel JT (2015) \u2018A survey on association rule mining\u2019, 2015 fifth international conference on Advanced Computing & Communication Technologies. Haryana 2015:212\u2013216","journal-title":"Haryana"},{"key":"15258_CR89","doi-asserted-by":"publisher","unstructured":"Song Q, Shepperd M, Mair C (2005) Using grey relational analysis to predict software effort with small data sets. In: 11th IEEE international software METRICS symposium (METRICS'05), Como, p 10. https:\/\/doi.org\/10.1109\/METRICS.2005.51","DOI":"10.1109\/METRICS.2005.51"},{"key":"15258_CR90","first-page":"4","volume":"2009","author":"X Su","year":"2009","unstructured":"Su X, Khoshgoftaar TM (2009) A survey of collaborative filtering techniques. Adv Artif Intell 2009:4","journal-title":"Adv Artif Intell"},{"key":"15258_CR91","doi-asserted-by":"crossref","first-page":"2081","DOI":"10.1109\/25.901877","volume":"49","author":"S-L Su","year":"2000","unstructured":"Su S-L, Su Y-C, Huang J-F (2000) Grey-based power control for ds-cdma cellular mobile systems. IEEE Trans Veh Technol 49:2081\u20132088","journal-title":"IEEE Trans Veh Technol"},{"key":"15258_CR92","doi-asserted-by":"crossref","first-page":"778","DOI":"10.1016\/j.asoc.2015.02.024","volume":"30","author":"A Tejeda-Lorente","year":"2015","unstructured":"Tejeda-Lorente A, Porcel C, Bernab\u00e9-Moreno J, Herrera-Viedma E (2015) REFORE: a recommender system for researchers based on bibliometrics. Appl Soft Comput 30:778\u2013791","journal-title":"Appl Soft Comput"},{"issue":"9","key":"15258_CR93","doi-asserted-by":"crossref","first-page":"1363","DOI":"10.1093\/ietisy\/e90-d.9.1363","volume":"90","author":"K Truong","year":"2007","unstructured":"Truong K, Ishikawa F, Honiden S (2007) Improving accuracy of recommender system by item clustering. IEICE Trans Inf Syst 90(9):1363\u20131373","journal-title":"IEICE Trans Inf Syst"},{"issue":"4","key":"15258_CR94","doi-asserted-by":"crossref","first-page":"1417","DOI":"10.1016\/j.asoc.2011.11.016","volume":"12","author":"C-F Tsai","year":"2012","unstructured":"Tsai C-F, Hung C (2012) Cluster ensembles in collaborative filtering recommendation. Appl Soft Comput 12(4):1417\u20131425","journal-title":"Appl Soft Comput"},{"key":"15258_CR95","unstructured":"Van Meteren, R, Van Someren, M (2000) Using content-based filtering for recommendation. Paper presented at the proceedings of the machine learning in the new information age: MLnet\/ECML2000 workshop"},{"key":"15258_CR96","doi-asserted-by":"crossref","first-page":"812","DOI":"10.1016\/j.phpro.2012.02.121","volume":"24","author":"P Wang","year":"2012","unstructured":"Wang P (2012) A personalized collaborative recommendation approach based on clustering of customers. Phys Procedia 24:812\u2013816","journal-title":"Phys Procedia"},{"issue":"1","key":"15258_CR97","first-page":"390","volume":"44","author":"Q Wang","year":"2022","unstructured":"Wang Q, He X, Jiang X, Li X (2022) Robust bi-stochastic graph regularized matrix factorization for data clustering. IEEE Trans Pattern Anal Mach Intell 44(1):390\u2013403","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"3","key":"15258_CR98","doi-asserted-by":"crossref","first-page":"413","DOI":"10.1016\/j.dss.2007.05.008","volume":"45","author":"C-P Wei","year":"2008","unstructured":"Wei C-P, Yang C-S, Hsiao H-W (2008) A collaborative filtering-based approach to personalized document clustering. Decis Support Syst 45(3):413\u2013428","journal-title":"Decis Support Syst"},{"key":"15258_CR99","doi-asserted-by":"crossref","first-page":"2541","DOI":"10.1016\/j.jss.2012.05.073","volume":"85","author":"S Zhang","year":"2012","unstructured":"Zhang S (2012) Nearest neighbor selection for iteratively knn imputation. J Syst Softw 85:2541\u20132552","journal-title":"J Syst Softw"},{"key":"15258_CR100","doi-asserted-by":"crossref","unstructured":"Zhang C, Zhu X, Zhang J, Qin Y, Zhang S (2007) \"Gbkii: An imputation method for missing values,\" in Pacific-Asia Conference on Knowledge Discovery and Data Mining, pp. 1080\u20131087","DOI":"10.1007\/978-3-540-71701-0_122"},{"issue":"5","key":"15258_CR101","doi-asserted-by":"crossref","first-page":"767","DOI":"10.1007\/s11390-011-0176-1","volume":"26","author":"Z-K Zhang","year":"2011","unstructured":"Zhang Z-K, Zhou T, Zhang Y-C (2011) Tag-aware recommender systems: a state-of-the-art survey. J Comput Sci Technol 26(5):767\u2013777","journal-title":"J Comput Sci Technol"},{"issue":"1","key":"15258_CR102","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3158369","volume":"52","author":"S Zhang","year":"2019","unstructured":"Zhang S, Yao L, Sun A, Tay Y (2019) Deep learning based recommender system: a survey and new perspectives. ACM Comput Surv 52(1):1\u201338","journal-title":"ACM Comput Surv"},{"issue":"2","key":"15258_CR103","doi-asserted-by":"crossref","first-page":"32","DOI":"10.3390\/fi11020032","volume":"11","author":"C Ziakis","year":"2019","unstructured":"Ziakis C, Vlachopoulou M, Kyrkoudis T, Karagkiozidou M (2019) Important factors for improving Google search rank. Futur Int 11(2):32","journal-title":"Futur Int"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-023-15258-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-023-15258-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-023-15258-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,31]],"date-time":"2024-01-31T08:27:21Z","timestamp":1706689641000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-023-15258-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,12]]},"references-count":103,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2024,2]]}},"alternative-id":["15258"],"URL":"https:\/\/doi.org\/10.1007\/s11042-023-15258-4","relation":{},"ISSN":["1573-7721"],"issn-type":[{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,7,12]]},"assertion":[{"value":"18 February 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 October 2022","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 April 2023","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 July 2023","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"This article does not contain any studies with human participants or animals performed by any of the authors.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}}]}}