{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,9]],"date-time":"2026-05-09T07:57:54Z","timestamp":1778313474476,"version":"3.51.4"},"publisher-location":"Berlin, Heidelberg","reference-count":24,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"value":"9783662448472","type":"print"},{"value":"9783662448489","type":"electronic"}],"license":[{"start":{"date-parts":[[2014,1,1]],"date-time":"2014-01-01T00:00:00Z","timestamp":1388534400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014]]},"DOI":"10.1007\/978-3-662-44848-9_28","type":"book-chapter","created":{"date-parts":[[2014,9,1]],"date-time":"2014-09-01T05:42:21Z","timestamp":1409550141000},"page":"434-449","source":"Crossref","is-referenced-by-count":30,"title":["Effective Blending of Two and Three-way Interactions for Modeling Multi-relational Data"],"prefix":"10.1007","author":[{"given":"Alberto","family":"Garc\u00eda-Dur\u00e1n","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Antoine","family":"Bordes","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nicolas","family":"Usunier","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"28_CR1","doi-asserted-by":"crossref","unstructured":"Bordes, A., Weston, J., Collobert, R., Bengio, Y.: Learning structured embeddings of knowledge bases. In: Proc. of the 25th Conf. on Artif. Intel. (AAAI) (2011)","DOI":"10.1609\/aaai.v25i1.7917"},{"key":"28_CR2","doi-asserted-by":"crossref","unstructured":"Bordes, A., Glorot, X., Weston, J., Bengio, Y.: A semantic matching energy function for learning with multi-relational data. Machine Learning (2013)","DOI":"10.1007\/s10994-013-5363-6"},{"key":"28_CR3","unstructured":"Bordes, A., Usunier, N., Garcia-Duran, A., Weston, J., Yakhnenko, O.: Translating embeddings for modeling multi-relational data. In: Advances in Neural Information Processing Systems, pp. 2787\u20132795 (2013)"},{"key":"28_CR4","first-page":"2493","volume":"12","author":"R. Collobert","year":"2011","unstructured":"Collobert, R., Weston, J., Bottou, L., Karlen, M., Kavukcuoglu, K., Kuksa, P.: Natural language processing (almost) from scratch. Journal of Machine Learning Research\u00a012, 2493\u20132537 (2011)","journal-title":"Journal of Machine Learning Research"},{"key":"28_CR5","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"213","DOI":"10.1007\/978-3-642-04930-9_14","volume-title":"The Semantic Web - ISWC 2009","author":"T. Franz","year":"2009","unstructured":"Franz, T., Schultz, A., Sizov, S., Staab, S.: Triplerank: Ranking semantic web data by tensor decomposition. In: Bernstein, A., Karger, D.R., Heath, T., Feigenbaum, L., Maynard, D., Motta, E., Thirunarayan, K. (eds.) ISWC 2009. LNCS, vol.\u00a05823, pp. 213\u2013228. Springer, Heidelberg (2009)"},{"key":"28_CR6","doi-asserted-by":"crossref","unstructured":"Grandvalet, Y.: Least absolute shrinkage is equivalent to quadratic penalization. In: The International Conference on Artificial Neural Networks (1998)","DOI":"10.1007\/978-1-4471-1599-1_27"},{"key":"28_CR7","unstructured":"Harshman, R., Lundy, M.: Three-way dedicom: Analyzing multiple matrices of asymmetric relationships. An. Meeting of the N. Amer. Psych. Society (1992)"},{"issue":"1","key":"28_CR8","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1016\/0167-9473(94)90132-5","volume":"18","author":"R.A. Harshman","year":"1994","unstructured":"Harshman, R.A., Lundy, M.E.: Parafac: parallel factor analysis. Comput. Stat. Data Anal.\u00a018(1), 39\u201372 (1994)","journal-title":"Comput. Stat. Data Anal."},{"key":"28_CR9","unstructured":"Jenatton, R., Le Roux, N., Bordes, A., Obozinski, G., et al.: A latent factor model for highly multi-relational data. In: NIPS 25 (2012)"},{"key":"28_CR10","unstructured":"Kemp, C., Tenenbaum, J.B., Griffiths, T.L., Yamada, T., Ueda, N.: Learning systems of concepts with an infinite relational model. In: Proc. of the 21st National Conf. on Artif. Intel. (AAAI), pp. 381\u2013388 (2006)"},{"key":"28_CR11","doi-asserted-by":"crossref","unstructured":"Kok, S., Domingos, P.: Statistical predicate invention. In: Proceedings of the 24th International Conference on Machine Learning, ICML 2007 pp. 433\u2013440 (2007)","DOI":"10.1145\/1273496.1273551"},{"issue":"8","key":"28_CR12","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.: Matrix factorization techniques for recommender systems. Computer\u00a042(8), 30\u201337 (2009)","journal-title":"Computer"},{"key":"28_CR13","unstructured":"Lao, N., Mitchell, T., Cohen, W.W.: Random walk inference and learning in a large scale knowledge base. In: Proceedings of the Conference on Empirical Methods in Natural Language Processing, pp. 529\u2013539. Association for Computational Linguistics (2011)"},{"key":"28_CR14","unstructured":"Mikolov, T., Sutskever, I., Chen, K., Corrado, G.S., Dean, J.: Distributed representations of words and phrases and their compositionality. In: Advances in Neural Information Processing Systems, pp. 3111\u20133119 (2013)"},{"issue":"11","key":"28_CR15","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1145\/219717.219748","volume":"38","author":"G. Miller","year":"1995","unstructured":"Miller, G.: WordNet: a Lexical Database for English. Communications of the ACM\u00a038(11), 39\u201341 (1995)","journal-title":"Communications of the ACM"},{"key":"28_CR16","unstructured":"Miller, K., Griffiths, T., Jordan, M.: Nonparametric latent feature models for link prediction. In: Bengio, Y., Schuurmans, D., Lafferty, J., Williams, C.K.I., Culotta, A. (eds.) Advances in Neural Information Processing Systems 22 (2009)"},{"key":"28_CR17","unstructured":"Nickel, M., Tresp, V., Kriegel, H.P.: A three-way model for collective learning on multi-relational data. In: Proceedings of the 28th International Conference on Machine Learning (ICML 2011), pp. 809\u2013816 (2011)"},{"key":"28_CR18","doi-asserted-by":"crossref","unstructured":"Nickel, M., Tresp, V., Kriegel, H.P.: Factorizing yago: scalable machine learning for linked data. In: Proceedings of the 21st International Conference on World Wide Web, WWW 2012, pp. 271\u2013280 (2012)","DOI":"10.1145\/2187836.2187874"},{"key":"28_CR19","doi-asserted-by":"crossref","unstructured":"Paccanaro, A., Hinton, G.: Learning distributed representations of concepts using linear relational embedding. IEEE Trans. on Knowl. and Data Eng.\u00a013 (2001)","DOI":"10.1109\/69.917563"},{"key":"28_CR20","first-page":"2","volume":"10","author":"R. Salakhutdinov","year":"2010","unstructured":"Salakhutdinov, R., Srebro, N.: Collaborative filtering in a non-uniform world: Learning with the weighted trace norm. tc (X)\u00a010, 2 (2010)","journal-title":"tc (X)"},{"key":"28_CR21","unstructured":"Socher, R., Chen, D., Manning, C.D., Ng, A.Y.: Reasoning With Neural Tensor Networks For Knowledge Base Completion. In: Advances in Neural Information Processing Systems 26 (2013)"},{"key":"28_CR22","unstructured":"Sutskever, I., Salakhutdinov, R., Tenenbaum, J.: Modelling relational data using bayesian clustered tensor factorization. In: Adv. in Neur. Inf. Proc. Syst. 22 (2009)"},{"key":"28_CR23","doi-asserted-by":"publisher","first-page":"279","DOI":"10.1007\/BF02289464","volume":"31","author":"L.R. Tucker","year":"1966","unstructured":"Tucker, L.R.: Some mathematical notes on three-mode factor analysis. Psychometrika\u00a031, 279\u2013311 (1966)","journal-title":"Psychometrika"},{"key":"28_CR24","unstructured":"Zhu, J.: Max-margin nonparametric latent feature models for link prediction. In: Proceedings of the 29th Intl Conference on Machine Learning (2012)"}],"container-title":["Lecture Notes in Computer Science","Machine Learning and Knowledge Discovery in Databases"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-662-44848-9_28","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,7,16]],"date-time":"2023-07-16T09:40:49Z","timestamp":1689500449000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-662-44848-9_28"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014]]},"ISBN":["9783662448472","9783662448489"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-662-44848-9_28","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014]]}}}