{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T20:06:56Z","timestamp":1774987616690,"version":"3.50.1"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030141318","type":"print"},{"value":"9783030141325","type":"electronic"}],"license":[{"start":{"date-parts":[[2019,3,6]],"date-time":"2019-03-06T00:00:00Z","timestamp":1551830400000},"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":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-14132-5_26","type":"book-chapter","created":{"date-parts":[[2019,3,5]],"date-time":"2019-03-05T03:59:54Z","timestamp":1551758394000},"page":"323-334","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A Generic Framework for Cross Domain Recommendation"],"prefix":"10.1007","author":[{"given":"Muhammad Murad","family":"Khan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Roliana","family":"Ibrahim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,3,6]]},"reference":[{"issue":"2\u20133","key":"26_CR1","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1007\/s11257-012-9131-2","volume":"23","author":"F Abel","year":"2013","unstructured":"Abel, F., Herder, E., Houben, G.J., Henze, N., Krause, D.: Cross-system user modeling and personalization on the social web. User Model. User-Adapt. Interact. 23(2\u20133), 169\u2013209 (2013)","journal-title":"User Model. User-Adapt. Interact."},{"key":"26_CR2","doi-asserted-by":"crossref","unstructured":"Berkovsky, S., Kuflik, T., Ricci, F.: Cross-domain mediation in collaborative filtering. In: International Conference on User Modeling, pp. 355\u2013359. Springer, Berlin (2007)","DOI":"10.1007\/978-3-540-73078-1_44"},{"issue":"3","key":"26_CR3","doi-asserted-by":"publisher","first-page":"245","DOI":"10.1007\/s11257-007-9042-9","volume":"18","author":"S Berkovsky","year":"2008","unstructured":"Berkovsky, S., Kuflik, T., Ricci, F.: Mediation of user models for enhanced personalization in recommender systems. User Model. User-Adapt. Interact. 18(3), 245\u2013286 (2008)","journal-title":"User Model. User-Adapt. Interact."},{"key":"26_CR4","doi-asserted-by":"crossref","unstructured":"Cantador, I., Castells, P.: Group recommender systems: new perspectives in the social web. In: Recommender Systems for the Social Web, pp. 139\u2013157. Springer, Berlin (2012)","DOI":"10.1007\/978-3-642-25694-3_7"},{"key":"26_CR5","doi-asserted-by":"crossref","unstructured":"Cantador, I., Fern\u00e1ndez-Tob\u00edas, I., Berkovsky, S., Cremonesi, P.: Cross-domain recommender systems. In: Recommender Systems Handbook, pp. 919\u2013959. Springer, Berlin (2015)","DOI":"10.1007\/978-1-4899-7637-6_27"},{"key":"26_CR6","doi-asserted-by":"crossref","unstructured":"Chung, R., Sundaram, D., Srinivasan, A.: Integrated personal recommender systems. In: Proceedings of the Ninth International Conference on Electronic Commerce, pp. 65\u201374. ACM, New York (2007)","DOI":"10.1145\/1282100.1282113"},{"key":"26_CR7","doi-asserted-by":"crossref","unstructured":"Cremonesi, P., Tripodi, A., Turrin, R.: Cross-domain recommender systems. In: IEEE 11th International Conference on Data Mining Workshops (ICDMW), pp. 496\u2013503. IEEE (2011)","DOI":"10.1109\/ICDMW.2011.57"},{"key":"26_CR8","unstructured":"Dooms, S., De\u00a0Pessemier, T., Martens, L.: Movietweetings: a movie rating dataset collected from twitter. In: Workshop on Crowdsourcing and Human Computation for Recommender Systems, CrowdRec at RecSys, vol. 2013, p.\u00a043 (2013)"},{"key":"26_CR9","unstructured":"Fern\u00e1ndez-Tob\u00edas, I., Cantador, I., Kaminskas, M., Ricci, F.: Cross-domain recommender systems: a survey of the state of the art. In: Spanish Conference on Information Retrieval, sn, p.\u00a024 (2012)"},{"key":"26_CR10","doi-asserted-by":"crossref","unstructured":"Gao, S., Luo, H., Chen, D., Li, S., Gallinari, P., Guo, J.: Cross-domain recommendation via cluster-level latent factor model. In: Joint European Conference on Machine Learning and Knowledge Discovery in Databases, pp. 161\u2013176. Springer, Berlin (2013)","DOI":"10.1007\/978-3-642-40991-2_11"},{"key":"26_CR11","doi-asserted-by":"crossref","unstructured":"Gunawardana, A., Shani, G.: Evaluating recommender systems. In: Recommender Systems Handbook, pp. 265\u2013308. Springer, Berlin (2015)","DOI":"10.1007\/978-1-4899-7637-6_8"},{"issue":"3","key":"26_CR12","first-page":"392","volume":"88","author":"MM Khan","year":"2016","unstructured":"Khan, M.M., Ghani, I., Jeong, S.R., Ibrahim, R., Qureshi, K.N.: Facebook\u2019s public social interaction utilization to assist recommendation accross system domain. J. Theoret. Appl. Inf. Technol. 88(3), 392 (2016)","journal-title":"J. Theoret. Appl. Inf. Technol."},{"issue":"3","key":"26_CR13","first-page":"36","volume":"50","author":"MM Khan","year":"2017","unstructured":"Khan, M.M., Ibrahim, R., Ghani, I.: Cross domain recommender systems: a systematic literature review. ACM Comput. Surv. (CSUR) 50(3), 36 (2017)","journal-title":"ACM Comput. Surv. (CSUR)"},{"issue":"3","key":"26_CR14","first-page":"861","volume":"19","author":"MM Khan","year":"2018","unstructured":"Khan, M.M., Ibrahim, R., Younas, M., Ghani, I., Jeong, S.R.: Facebook interactions utilization for addressing recommender systems cold start problem across system domain. J. Internet Technol. 19(3), 861\u2013870 (2018)","journal-title":"J. Internet Technol."},{"key":"26_CR15","doi-asserted-by":"crossref","unstructured":"Koren, Y.: Factorization meets the neighborhood: a multifaceted collaborative filtering model. In: Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 426\u2013434. ACM, New York (2008)","DOI":"10.1145\/1401890.1401944"},{"key":"26_CR16","first-page":"2052","volume":"9","author":"B Li","year":"2009","unstructured":"Li, B., Yang, Q., Xue, X.: Can movies and books collaborate? cross-domain collaborative filtering for sparsity reduction. IJCAI 9, 2052\u20132057 (2009)","journal-title":"IJCAI"},{"key":"26_CR17","doi-asserted-by":"crossref","unstructured":"Lu, Z., Zhong, E., Zhao, L., Xiang, E.W., Pan, W., Yang, Q.: Selective transfer learning for cross domain recommendation. In: Proceedings of the 2013 SIAM International Conference on Data Mining, pp. 641\u2013649. SIAM (2013)","DOI":"10.1137\/1.9781611972832.71"},{"key":"26_CR18","doi-asserted-by":"crossref","unstructured":"Moreno, O., Shapira, B., Rokach, L., Shani, G.: Talmud: transfer learning for multiple domains. In: Proceedings of the 21st ACM International Conference on Information and Knowledge Management, pp. 425\u2013434. ACM, New York (2012)","DOI":"10.1145\/2396761.2396817"},{"issue":"11","key":"26_CR19","doi-asserted-by":"publisher","first-page":"10,059","DOI":"10.1016\/j.eswa.2012.02.038","volume":"39","author":"DH Park","year":"2012","unstructured":"Park, D.H., Kim, H.K., Choi, I.Y., Kim, J.K.: A literature review and classification of recommender systems research. Exp. Syst. Appl. 39(11), 10,059\u201310,072 (2012)","journal-title":"Exp. Syst. Appl."},{"key":"26_CR20","doi-asserted-by":"crossref","unstructured":"Ricci, F., Rokach, L., Shapira, B.: Recommender systems: introduction and challenges. In: Recommender Systems Handbook, pp. 1\u201334. Springer, Berlin (2015)","DOI":"10.1007\/978-1-4899-7637-6_1"},{"issue":"1","key":"26_CR21","doi-asserted-by":"publisher","first-page":"187","DOI":"10.1007\/s10586-014-0355-2","volume":"18","author":"AN Rosli","year":"2015","unstructured":"Rosli, A.N., You, T., Ha, I., Chung, K.Y., Jo, G.S.: Alleviating the cold-start problem by incorporating movies facebook pages. Clust. Comput. 18(1), 187\u2013197 (2015)","journal-title":"Clust. Comput."},{"key":"26_CR22","doi-asserted-by":"crossref","unstructured":"Sedhain, S., Sanner, S., Xie, L., Kidd, R., Tran, K.N., Christen, P.: Social affinity filtering: Recommendation through fine-grained analysis of user interactions and activities. In: Proceedings of the First ACM Conference on Online Social Networks, pp. 51\u201362. ACM, New York (2013)","DOI":"10.1145\/2512938.2512947"},{"issue":"2\u20133","key":"26_CR23","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1007\/s11257-012-9128-x","volume":"23","author":"B Shapira","year":"2013","unstructured":"Shapira, B., Rokach, L., Freilikhman, S.: Facebook single and cross domain data for recommendation systems. User Model. User-Adapt. Interact. 23(2\u20133), 211\u2013247 (2013)","journal-title":"User Model. User-Adapt. Interact."},{"key":"26_CR24","doi-asserted-by":"crossref","unstructured":"Xu, Q., Xiang, E., Yang, Q.: Social-behavior transfer learning for recommendation systems. In: Proceedings of Workshop on Social Web Mining (2011)","DOI":"10.1007\/978-1-4419-7735-9_8"}],"container-title":["Studies in Computational Intelligence","Intelligent Information and Database Systems: Recent Developments"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-14132-5_26","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T19:33:23Z","timestamp":1774985603000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-14132-5_26"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,3,6]]},"ISBN":["9783030141318","9783030141325"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-14132-5_26","relation":{},"ISSN":["1860-949X","1860-9503"],"issn-type":[{"value":"1860-949X","type":"print"},{"value":"1860-9503","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,3,6]]},"assertion":[{"value":"6 March 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ACIIDS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Asian Conference on Intelligent Information and Database Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Yogyakarta","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Indonesia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 April 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 April 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aciids2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/aciids.pwr.edu.pl\/2019\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}