{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T21:41:52Z","timestamp":1777498912203,"version":"3.51.4"},"reference-count":20,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2018,1,15]],"date-time":"2018-01-15T00:00:00Z","timestamp":1515974400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Knowl Inf Syst"],"published-print":{"date-parts":[[2018,12]]},"DOI":"10.1007\/s10115-018-1157-2","type":"journal-article","created":{"date-parts":[[2018,1,15]],"date-time":"2018-01-15T19:48:47Z","timestamp":1516045727000},"page":"709-720","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Two collaborative filtering recommender systems based on sparse dictionary coding"],"prefix":"10.1007","volume":"57","author":[{"given":"Ismail Emre","family":"Kartoglu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michael W.","family":"Spratling","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,1,15]]},"reference":[{"key":"1157_CR1","doi-asserted-by":"publisher","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, Guti\u00e9rrez A (2013) Recommender systems survey. Knowl-Based Syst 46:109\u2013132","journal-title":"Knowl-Based Syst"},{"key":"1157_CR2","unstructured":"Breese JS, Heckerman D, Kadie C (1998) Empirical analysis of predictive algorithms for collaborative filtering. In: Proceedings of the fourteenth conference on uncertainty in artificial intelligence, UAI\u201998, San Francisco, CA, USA. Morgan Kaufmann Publishers Inc, pp 43\u201352"},{"issue":"1","key":"1157_CR3","doi-asserted-by":"publisher","first-page":"34","DOI":"10.1137\/060657704","volume":"51","author":"A Bruckstein","year":"2009","unstructured":"Bruckstein A, Donoho D, Elad M (2009) From sparse solutions of systems of equations to sparse modeling of signals and images. SIAM Rev 51(1):34\u201381","journal-title":"SIAM Rev"},{"key":"1157_CR4","doi-asserted-by":"crossref","unstructured":"Cooper C, Lee S, Radzik T, Siantos Y (2014) Random walks in recommender systems: exact computation and simulations. In: Proceedings of the companion publication of the 23rd international conference on world wide web companion, WWW Companion \u201914, Geneva, Switzerland. International World Wide Web Conferences Steering Committee, pp 811\u2013816","DOI":"10.1145\/2567948.2579244"},{"issue":"1","key":"1157_CR5","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1145\/963770.963776","volume":"22","author":"M Deshpande","year":"2004","unstructured":"Deshpande M, Karypis G (2004) Item-based top-n recommendation algorithms. ACM Trans Inf Syst 22(1):143\u2013177","journal-title":"ACM Trans Inf Syst"},{"key":"1157_CR6","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4419-7011-4","volume-title":"Sparse and redundant representations: from theory to applications in signal and image processing","author":"M Elad","year":"2010","unstructured":"Elad M (2010) Sparse and redundant representations: from theory to applications in signal and image processing. Springer, Berlin"},{"key":"1157_CR7","doi-asserted-by":"crossref","unstructured":"Fouss F, Pirotte A, Saerens M (2005) A novel way of computing similarities between nodes of a graph, with application to collaborative recommendation. In: Web intelligence, 2005. Proceedings. The 2005 IEEE\/WIC\/ACM international conference on, pp 550\u2013556","DOI":"10.1109\/WI.2005.9"},{"issue":"2","key":"1157_CR8","doi-asserted-by":"publisher","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"},{"key":"1157_CR9","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1145\/963770.963772","volume":"22","author":"J Herlocker","year":"2004","unstructured":"Herlocker J, Konstan J, Terveen L, Riedl J (2004) Evaluating collaborative filtering recommender systems. ACM Trans Inf Syst 22:5\u201353","journal-title":"ACM Trans Inf Syst"},{"key":"1157_CR10","first-page":"1457","volume":"5","author":"P Hoyer","year":"2004","unstructured":"Hoyer P (2004) Non-negative matrix factorization with sparseness constraints. J Mach Learn Res 5:1457\u20131469","journal-title":"J Mach Learn Res"},{"issue":"8","key":"1157_CR11","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1109\/MC.2009.263","volume":"42","author":"Y Koren","year":"2009","unstructured":"Koren Y, Bell R, Volinsky C (2009) Matrix factorization techniques for recommender systems. Computer 42(8):30\u201337","journal-title":"Computer"},{"key":"1157_CR12","doi-asserted-by":"crossref","unstructured":"Ning X, Karypis G (2011) Slim: sparse linear methods for top-n recommender systems. In: Data mining (ICDM), 2011 IEEE 11th international conference, pp 497\u2013506","DOI":"10.1109\/ICDM.2011.134"},{"key":"1157_CR13","doi-asserted-by":"crossref","unstructured":"Plumbley M (2006). Recovery of sparse representations by polytope faces pursuit. In: Independent Component Analysis and Blind Signal Separation. Springer, Berlin, pp 206\u2013213","DOI":"10.1007\/11679363_26"},{"key":"1157_CR14","doi-asserted-by":"crossref","unstructured":"Sarwar B, Karypis G, Konstan J, Riedl J (2000) Application of dimensionality reduction in recommender system: a case study. Technical report, DTIC Document","DOI":"10.21236\/ADA439541"},{"key":"1157_CR15","doi-asserted-by":"crossref","unstructured":"Sarwar B, Karypis G, Konstan J, Riedl J (2001a) Item-based collaborative filtering recommendation algorithms. In: Proceedings of the 10th international conference on world wide web, WWW \u201901, New York. ACM, pp 285\u2013295","DOI":"10.1145\/371920.372071"},{"key":"1157_CR16","doi-asserted-by":"crossref","unstructured":"Sarwar B, Karypis G, Konstan J, Riedl J (2001b) Item-based collaborative filtering recommendation algorithms. In: Proceedings of the 10th international conference on world wide web. ACM, pp 285\u2013295","DOI":"10.1145\/371920.372071"},{"issue":"1","key":"1157_CR17","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1007\/s00422-013-0579-x","volume":"108","author":"M Spratling","year":"2014","unstructured":"Spratling M (2014) Classification using sparse representations: a biologically plausible approach. Biol Cybern 108(1):61\u201373","journal-title":"Biol Cybern"},{"key":"1157_CR18","doi-asserted-by":"crossref","unstructured":"Szab\u00f3 Z, P\u00f3czos B, L\u0151rincz A (2012) Collaborative filtering via group-structured dictionary learning. In: Latent variable analysis and signal separation, vol 7191. Lecture notes in computer science. Springer, Berlin, pp 247\u2013254","DOI":"10.1007\/978-3-642-28551-6_31"},{"issue":"6","key":"1157_CR19","doi-asserted-by":"publisher","first-page":"1031","DOI":"10.1109\/JPROC.2010.2044470","volume":"98","author":"J Wright","year":"2010","unstructured":"Wright J, Ma Y, Mairal J, Sapiro G, Huang T, Yan S (2010) Sparse representation for computer vision and pattern recognition. Proc IEEE 98(6):1031\u20131044","journal-title":"Proc IEEE"},{"issue":"10","key":"1157_CR20","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, Medo M, Wakeling J, Zhang Y (2010) Solving the apparent diversity-accuracy dilemma of recommender systems. Proc Natl Acad Sci 107(10):4511\u20134515","journal-title":"Proc Natl Acad Sci"}],"container-title":["Knowledge and Information Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10115-018-1157-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10115-018-1157-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10115-018-1157-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,1,15]],"date-time":"2019-01-15T00:58:36Z","timestamp":1547513916000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10115-018-1157-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,1,15]]},"references-count":20,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2018,12]]}},"alternative-id":["1157"],"URL":"https:\/\/doi.org\/10.1007\/s10115-018-1157-2","relation":{},"ISSN":["0219-1377","0219-3116"],"issn-type":[{"value":"0219-1377","type":"print"},{"value":"0219-3116","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,1,15]]},"assertion":[{"value":"22 October 2016","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"31 October 2017","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 January 2018","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 January 2018","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}