{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T18:00:49Z","timestamp":1775844049693,"version":"3.50.1"},"reference-count":21,"publisher":"Institute of Electronics, Information and Communications Engineers (IEICE)","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEICE Trans. Inf. &amp; Syst."],"published-print":{"date-parts":[[2020,2,1]]},"DOI":"10.1587\/transinf.2019edp7146","type":"journal-article","created":{"date-parts":[[2020,1,31]],"date-time":"2020-01-31T17:09:52Z","timestamp":1580490592000},"page":"398-405","source":"Crossref","is-referenced-by-count":11,"title":["Users' Preference Prediction of Real Estate Properties Based on Floor Plan Analysis"],"prefix":"10.1587","volume":"E103.D","author":[{"given":"Naoki","family":"KATO","sequence":"first","affiliation":[{"name":"The University of Tokyo"}]},{"given":"Toshihiko","family":"YAMASAKI","sequence":"additional","affiliation":[{"name":"The University of Tokyo"}]},{"given":"Kiyoharu","family":"AIZAWA","sequence":"additional","affiliation":[{"name":"The University of Tokyo"}]},{"given":"Takemi","family":"OHAMA","sequence":"additional","affiliation":[{"name":"Ietty Co., Ltd."}]}],"member":"532","reference":[{"key":"1","doi-asserted-by":"publisher","unstructured":"[1] D. Goldberg, D. Nichols, B.M. Oki, and D. Terry, \u201cUsing collaborative filtering to weave an information tapestry,\u201d Commun. ACM, vol.35, no.12, pp.61-70, Dec. 1992. 10.1145\/138859.138867","DOI":"10.1145\/138859.138867"},{"key":"2","doi-asserted-by":"publisher","unstructured":"[2] B.W. Matthews, \u201cComparison of the predicted and observed secondary structure of t4 phage lysozyme,\u201d Biochimica et Biophysica Acta (BBA)-Protein Structure, vol.405, no.2, pp.442-451, 1975. 10.1016\/0005-2795(75)90109-9","DOI":"10.1016\/0005-2795(75)90109-9"},{"key":"3","doi-asserted-by":"crossref","unstructured":"[3] N. Kato, T. Yamasaki, K. Aizawa, and T. Ohama, \u201cUsers&apos; preference prediction of real estates featuring floor plan analysis using floornet,\u201d Proc. 2018 ACM Workshop on Multimedia for Real Estate Tech, RETech&apos;18, New York, NY, USA, pp.7-11, ACM, 2018. 10.1145\/3210499.3210525","DOI":"10.1145\/3210499.3210525"},{"key":"4","unstructured":"[4] J.S. Breese, D. Heckerman, and C. Kadie, \u201cEmpirical analysis of predictive algorithms for collaborative filtering,\u201d Proc. Fourteenth Conference on Uncertainty in Artificial Intelligence (UAI), pp.43-52, Morgan Kaufmann Publishers Inc., 1998."},{"key":"5","unstructured":"[5] D.M. Pennock, \u201cCollaborative filtering by personality diagnosis: A hybrid memory and model-based approach,\u201d Proc. Sixteenth Conference on Uncertainty in Artificial Intelligence (UAI), pp.473-480, Morgan Kaufmann Publishers Inc., 2000."},{"key":"6","doi-asserted-by":"crossref","unstructured":"[6] G.-R. Xue, C. Lin, Q. Yang, W. Xi, H.-J. Zeng, Y. Yu, and Z. Chen, \u201cScalable collaborative filtering using cluster-based smoothing,\u201d Proc. 28th Annual ACM SIGIR Conf. on Research and Development in Information Retrieval, 2005. 10.1145\/1076034.1076056","DOI":"10.1145\/1076034.1076056"},{"key":"7","unstructured":"[7] S. Func, \u201cNetflix update: Try this at home,\u201d 2006. http:\/\/sifter.org\/simon\/journal\/20061211.html."},{"key":"8","doi-asserted-by":"publisher","unstructured":"[8] Y. Koren, R. Bell, and C. Volinsky, \u201cMatrix factorization techniques for recommender systems,\u201d Computer, vol.42, no.8, pp.30-37, 2009. 10.1109\/mc.2009.263","DOI":"10.1109\/MC.2009.263"},{"key":"9","unstructured":"[9] B. Hidasi, A. Karatzoglou, L. Baltrunas, and D. Tikk, \u201cSession-based recommendations with recurrent neural networks,\u201d Proc. International Conference on Learning Representations (ICLR), 2015."},{"key":"10","doi-asserted-by":"publisher","unstructured":"[10] T. Hanazato, Y. Hirano, and M. Sasaki, \u201cSyantic analysis of large size condominium units supplied in the tokyo metroporitan area,\u201d Journal of Structural and Construction Engineering, vol.70, no.591, pp.9-16, 2005. 10.3130\/aija.70.9_5","DOI":"10.3130\/aija.70.9_5"},{"key":"11","doi-asserted-by":"publisher","unstructured":"[11] A. Takizawa, K. Yoshida, and N. Kato, \u201cApplying graph mining to rent analysis considering room layouts,\u201d Journal of Environmental Engineering, vol.73, no.623, pp.139-146, 2008. 10.3130\/aije.73.139","DOI":"10.3130\/aije.73.139"},{"key":"12","unstructured":"[12] K. Ohara, T. Yamasaki, and K. Aizawa, \u201cAn intuitive system for searching apartments using floor plans and areas of rooms,\u201d The 78th national convention of IPSJ, 5Y-08, 2016. (in Japanese)."},{"key":"13","doi-asserted-by":"crossref","unstructured":"[13] Y. Takada, N. Inoue, T. Yamasaki, and K. Aizawa, \u201cSimilar floor plan retrieval featuring multi-task learning of layout type classification and room presence prediction,\u201d IEEE International Conference on Consumer Electronics (ICCE), pp.931-936, 2018. 10.1109\/icce.2018.8326163","DOI":"10.1109\/ICCE.2018.8326163"},{"key":"14","unstructured":"[14] A. Krizhevsky, I. Sutskever, and G.E. Hinton, \u201cImagenet classification with deep convolutional neural networks,\u201d Advances in neural information processing systems, pp.1097-1105, 2012."},{"key":"15","doi-asserted-by":"crossref","unstructured":"[15] K. He, X. Zhang, S. Ren, and J. Sun, \u201cDeep residual learning for image recognition,\u201d The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.770-778, IEEE Computer Society, 2016. 10.1109\/cvpr.2016.90","DOI":"10.1109\/CVPR.2016.90"},{"key":"16","unstructured":"[16] N. Srivastava, G.E. Hinton, A. Krizhevsky, I. Sutskever, and R. Salakhutdinov, \u201cDropout: a simple way to prevent neural networks from overfitting,\u201d Journal of machine learning research, vol.15, no.1, pp.1929-1958, 2014."},{"key":"17","unstructured":"[17] S. Ioffe and C. Szegedy, \u201cBatch normalization: Accelerating deep network training by reducing internal covariate shift,\u201d International Conference on Machine Learning (ICML), pp.448-456, 2015."},{"key":"18","unstructured":"[18] K. Simonyan and A. Zisserman, \u201cVery deep convolutional networks for large-scale image recognition,\u201d Proc. International Conference on Learning Representations (ICLR), 2015."},{"key":"19","unstructured":"[19] S. Tokui, K. Oono, S. Hido, and J. Clayton, \u201cChainer: a next-generation open source framework for deep learning,\u201d Proceedings of Workshop on Machine Learning Systems (LearningSys) in The Twenty-ninth Annual Conference on Neural Information Processing Systems (NIPS), 2015."},{"key":"20","doi-asserted-by":"crossref","unstructured":"[20] Y. Niitani, T. Ogawa, S. Saito, and M. Saito, \u201cChainercv: a library for deep learning in computer vision,\u201d ACM Multimedia, pp.1217-1220, 2017. 10.1145\/3123266.3129395","DOI":"10.1145\/3123266.3129395"},{"key":"21","doi-asserted-by":"crossref","unstructured":"[21] C. Liu, J. Wu, P. Kohli, and Y. Furukawa, \u201cRaster-to-vector: Revisiting floorplan transformation,\u201d The IEEE International Conference on Computer Vision (ICCV), pp.2214-2222, Oct. 2017. 10.1109\/iccv.2017.241","DOI":"10.1109\/ICCV.2017.241"}],"container-title":["IEICE Transactions on Information and Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E103.D\/2\/E103.D_2019EDP7146\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,1,31]],"date-time":"2020-01-31T22:26:53Z","timestamp":1580509613000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E103.D\/2\/E103.D_2019EDP7146\/_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,2,1]]},"references-count":21,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2020]]}},"URL":"https:\/\/doi.org\/10.1587\/transinf.2019edp7146","relation":{},"ISSN":["0916-8532","1745-1361"],"issn-type":[{"value":"0916-8532","type":"print"},{"value":"1745-1361","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,2,1]]}}}