{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,12,11]],"date-time":"2022-12-11T05:14:27Z","timestamp":1670735667496},"reference-count":32,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2021,1,7]],"date-time":"2021-01-07T00:00:00Z","timestamp":1609977600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,7]],"date-time":"2021-01-07T00:00:00Z","timestamp":1609977600000},"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":["Pers Ubiquit Comput"],"published-print":{"date-parts":[[2022,8]]},"DOI":"10.1007\/s00779-020-01489-x","type":"journal-article","created":{"date-parts":[[2021,1,7]],"date-time":"2021-01-07T04:35:59Z","timestamp":1609994159000},"page":"983-993","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Ontology Guided Sparse Tensor Factorization for joint recommendation with hierarchical relationships"],"prefix":"10.1007","volume":"26","author":[{"given":"Hao","family":"Liu","sequence":"first","affiliation":[]},{"given":"Xiutao","family":"Shi","sequence":"additional","affiliation":[]},{"given":"Guangxi","family":"Li","sequence":"additional","affiliation":[]},{"given":"Shijun","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Li","family":"Pan","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,1,7]]},"reference":[{"issue":"2","key":"1489_CR1","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1016\/j.jss.2004.08.031","volume":"77","author":"D-R Liu","year":"2005","unstructured":"Liu D-R, Shih Y-Y (2005) Hybrid approaches to product recommendation based on customer lifetime value and purchase preferences. J Syst Softw 77(2):181\u2013191","journal-title":"J Syst Softw"},{"key":"1489_CR2","unstructured":"Kim S, Xing EP (2010) Tree-guided group lasso for multi-task regression with structured sparsity. vol 2, p 1"},{"key":"1489_CR3","doi-asserted-by":"crossref","unstructured":"Frolov E, Oseledets I (2016) Tensor methods and recommender systems. arXiv:1603.06038","DOI":"10.1002\/widm.1201"},{"key":"1489_CR4","doi-asserted-by":"crossref","unstructured":"Sarwar B, Karypis G, Konstan J, Riedl J (2001) 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"},{"key":"1489_CR5","unstructured":"Drachsler H, Hummel H, Koper R (2007) Recommendations for learners are different: Applying memory-based recommender system techniques to lifelong learning"},{"key":"1489_CR6","unstructured":"Hofmann T, Hartmann D (2005) Collaborative filtering with privacy via factor analysis. In: Proceedings of the 2005 ACM symposium on applied computing, pp 791\u2013795"},{"key":"1489_CR7","doi-asserted-by":"crossref","unstructured":"Basilico J, Hofmann T (2004) A joint framework for collaborative and content filtering. In: SIGIR. ACM, pp 550\u2013551","DOI":"10.1145\/1015330.1015394"},{"key":"1489_CR8","doi-asserted-by":"crossref","unstructured":"Burke R (2007) Hybrid web recommender systems. In: The adaptive web. Springer, pp 377\u2013408","DOI":"10.1007\/978-3-540-72079-9_12"},{"key":"1489_CR9","doi-asserted-by":"crossref","unstructured":"Khrouf H, Troncy R (2013) Hybrid event recommendation using linked data and user diversity. In: Proceedings of the 7th ACM conference on recommender systems, pp 185\u2013192","DOI":"10.1145\/2507157.2507171"},{"issue":"8","key":"1489_CR10","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, et al. (2009) Matrix factorization techniques for recommender systems. Computer 42(8):30\u201337","journal-title":"Computer"},{"issue":"3","key":"1489_CR11","doi-asserted-by":"publisher","first-page":"455","DOI":"10.1137\/07070111X","volume":"51","author":"TG Kolda","year":"2009","unstructured":"Kolda TG, Bader BW (2009) Tensor decompositions and applications. SIAM Rev 51(3):455\u2013500","journal-title":"SIAM Rev"},{"key":"1489_CR12","doi-asserted-by":"crossref","unstructured":"Symeonidis P, Nanopoulos A, Manolopoulos Y (2008) Tag recommendations based on tensor dimensionality reduction. In: RecSys. ACM, pp 43\u201350","DOI":"10.1145\/1454008.1454017"},{"issue":"4","key":"1489_CR13","doi-asserted-by":"publisher","first-page":"760","DOI":"10.1109\/TSMCA.2011.2132708","volume":"41","author":"A Nanopoulos","year":"2011","unstructured":"Nanopoulos A (2011) Item recommendation in collaborative tagging systems. IEEE Trans Syst Man Cybern Part A Syst Humans 41(4):760\u2013771","journal-title":"IEEE Trans Syst Man Cybern Part A Syst Humans"},{"key":"1489_CR14","doi-asserted-by":"crossref","unstructured":"Schein A, Paisley J, Blei DM, Wallach H (2015) Bayesian poisson tensor factorization for inferring multilateral relations from sparse dyadic event counts. In: SIGKDD. ACM, pp 1045\u20131054","DOI":"10.1145\/2783258.2783414"},{"key":"1489_CR15","doi-asserted-by":"crossref","unstructured":"Zheng VW, Cao B, Zheng Y, Xie X, Yang Q (2010) Collaborative filtering meets mobile recommendation:, A user-centered approach. In: AAAI, vol 10, pp 236\u2013241","DOI":"10.1609\/aaai.v24i1.7577"},{"key":"1489_CR16","unstructured":"Harshman RA (1970) Foundations of the parafac procedure: Models and conditions for an\u201c explanatory\u201d multi-modal factor analysis"},{"issue":"3","key":"1489_CR17","doi-asserted-by":"publisher","first-page":"283","DOI":"10.1007\/BF02310791","volume":"35","author":"JD Carroll","year":"1970","unstructured":"Carroll JD, Chang JJ (1970) Analysis of individual differences in multidimensional scaling via an n-way generalization of eckart-young decomposition. Psychometrika 35(3):283\u2013319","journal-title":"Psychometrika"},{"key":"1489_CR18","doi-asserted-by":"crossref","unstructured":"Kolda TG (2006) Multilinear operators for higher-order decompositions. United States Department of Energy","DOI":"10.2172\/923081"},{"key":"1489_CR19","doi-asserted-by":"crossref","unstructured":"Hidasi B, Tikk D (2012) Fast als-based tensor factorization for context-aware recommendation from implicit feedback. In: ECML and PKDD. Springer, pp 67\u201382","DOI":"10.1007\/978-3-642-33486-3_5"},{"issue":"2","key":"1489_CR20","doi-asserted-by":"publisher","first-page":"298","DOI":"10.1007\/s10618-012-0280-z","volume":"25","author":"A Narita","year":"2012","unstructured":"Narita A, Hayashi K, Tomioka R, Kashima H (2012) Tensor factorization using auxiliary information. Data Min Knowl Disc 25(2):298\u2013324","journal-title":"Data Min Knowl Disc"},{"key":"1489_CR21","doi-asserted-by":"crossref","unstructured":"Bhargava P, Phan T, Zhou J, Lee J (2015) Who, what, when, and where: Multi-dimensional collaborative recommendations using tensor factorization on sparse user-generated data. In: WWW. ACM, pp 130\u2013140","DOI":"10.1145\/2736277.2741077"},{"issue":"1","key":"1489_CR22","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1111\/j.1467-9868.2005.00532.x","volume":"68","author":"M Yuan","year":"2006","unstructured":"Yuan M, Lin Y (2006) Model selection and estimation in regression with grouped variables. J Royal Stat Soc Ser B Stat Methodol 68(1):49\u201367","journal-title":"J Royal Stat Soc Ser B Stat Methodol"},{"key":"1489_CR23","doi-asserted-by":"crossref","unstructured":"Jacob L, Obozinski G, Vert J.-P. (2009) Group lasso with overlap and graph lasso. In: ICML. ACM, pp 433\u2013440","DOI":"10.1145\/1553374.1553431"},{"issue":"Oct","key":"1489_CR24","first-page":"2777","volume":"12","author":"R Jenatton","year":"2011","unstructured":"Jenatton R, Audibert J-Y, Bach F (2011) Structured variable selection with sparsity-inducing norms. J Mach Learn Res 12(Oct):2777\u20132824","journal-title":"J Mach Learn Res"},{"key":"1489_CR25","unstructured":"Zhao P, Rocha G, Yu B (2006) Grouped and hierarchical model selection through composite absolute penalties, Department of Statistics, UC Berkeley, Tech. Rep, vol 703"},{"key":"1489_CR26","doi-asserted-by":"crossref","unstructured":"Kim S, Xing EP (2012) Tree-guided group lasso for multi-response regression with structured sparsity, with an application to eqtl mapping. Ann Appl Stat, 1095\u20131117","DOI":"10.1214\/12-AOAS549"},{"key":"1489_CR27","unstructured":"Liu J, Ye J (2010) Moreau-yosida regularization for grouped tree structure learning. In: Advances in neural information processing systems, pp 1459\u20131467"},{"key":"1489_CR28","doi-asserted-by":"crossref","unstructured":"Liu M, Zhang D, Yap P-T, Shen D (2012) Tree-guided sparse coding for brain disease classification. In: MICCAI, pp 239\u2013247","DOI":"10.1007\/978-3-642-33454-2_30"},{"key":"1489_CR29","doi-asserted-by":"crossref","unstructured":"Hao X, Yu J, Zhang D (2014) Identifying genetic associations with mri-derived measures via tree-guided sparse learning. In: MICCAI. Springer, pp 757\u2013764","DOI":"10.1007\/978-3-319-10470-6_94"},{"issue":"1","key":"1489_CR30","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1145\/963770.963772","volume":"22","author":"JL Herlocker","year":"2004","unstructured":"Herlocker JL, Konstan JA, Terveen LG, Riedl JT (2004) Evaluating collaborative filtering recommender systems. TOIS 22(1):5\u201353","journal-title":"TOIS"},{"key":"1489_CR31","doi-asserted-by":"crossref","unstructured":"Acar E, Dunlavy DM, Kolda TG, M\u00f8rup M. (2010) Scalable tensor factorizations with missing data. In: SDM. SIAM, pp 701\u2013712","DOI":"10.1137\/1.9781611972801.61"},{"key":"1489_CR32","unstructured":"Acar E, Kolda TG, Dunlavy DM (2011) All-at-once optimization for coupled matrix and tensor factorizations. arXiv:1105.3422"}],"container-title":["Personal and Ubiquitous Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00779-020-01489-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00779-020-01489-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00779-020-01489-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,10]],"date-time":"2022-12-10T21:23:00Z","timestamp":1670707380000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00779-020-01489-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,1,7]]},"references-count":32,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2022,8]]}},"alternative-id":["1489"],"URL":"https:\/\/doi.org\/10.1007\/s00779-020-01489-x","relation":{},"ISSN":["1617-4909","1617-4917"],"issn-type":[{"value":"1617-4909","type":"print"},{"value":"1617-4917","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,1,7]]},"assertion":[{"value":"8 July 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 October 2020","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 January 2021","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}