{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,11]],"date-time":"2024-09-11T08:03:44Z","timestamp":1726041824525},"publisher-location":"Cham","reference-count":21,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030298937"},{"type":"electronic","value":"9783030298944"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"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":[[2019]]},"DOI":"10.1007\/978-3-030-29894-4_43","type":"book-chapter","created":{"date-parts":[[2019,8,22]],"date-time":"2019-08-22T21:41:59Z","timestamp":1566510119000},"page":"529-542","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Multiple Knowledge Transfer for Cross-Domain Recommendation"],"prefix":"10.1007","author":[{"given":"Quan","family":"Do","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sunny","family":"Verma","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fang","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,8,23]]},"reference":[{"key":"43_CR1","unstructured":"Acar, E., Kolda, T.G., Dunlavy, D.M.: All-at-once optimization for coupled matrix and tensor factorizations. arXiv preprint arXiv:1105.3422 (2011)"},{"key":"43_CR2","unstructured":"Bauckhage, C.: K-means clustering is matrix factorization. arXiv preprint arXiv:1512.07548 (2015)"},{"key":"43_CR3","doi-asserted-by":"crossref","unstructured":"Cao, D., Nie, L., He, X., Wei, X., Zhu, S., Chua, T.S.: Embedding factorization models for jointly recommending items and user generated lists. In: Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (2017)","DOI":"10.1145\/3077136.3080779"},{"key":"43_CR4","doi-asserted-by":"crossref","unstructured":"Chen, W., Hsu, W., Lee, M.L.: Making recommendations from multiple domains. In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (2013)","DOI":"10.1145\/2487575.2487638"},{"key":"43_CR5","doi-asserted-by":"crossref","unstructured":"Cheng, Z., Ding, Y., He, X., Zhu, L., Song, X., Kankanhalli, M.S.: A $$\\hat{}$$ 3NCF: an adaptive aspect attention model for rating prediction. In: IJCAI (2018)","DOI":"10.24963\/ijcai.2018\/521"},{"key":"43_CR6","doi-asserted-by":"crossref","unstructured":"Elkahky, A.M., Song, Y., He, X.: A multi-view deep learning approach for cross domain user modeling in recommendation systems. In: Proceedings of the 24th International Conference on World Wide Web (2015)","DOI":"10.1145\/2736277.2741667"},{"key":"43_CR7","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"161","DOI":"10.1007\/978-3-642-40991-2_11","volume-title":"Machine Learning and Knowledge Discovery in Databases","author":"S Gao","year":"2013","unstructured":"Gao, S., Luo, H., Chen, D., Li, S., Gallinari, P., Guo, J.: Cross-domain recommendation via cluster-level latent factor model. In: Blockeel, H., Kersting, K., Nijssen, S., \u017delezn\u00fd, F. (eds.) ECML PKDD 2013. LNCS (LNAI), vol. 8189, pp. 161\u2013176. Springer, Heidelberg (2013). https:\/\/doi.org\/10.1007\/978-3-642-40991-2_11"},{"key":"43_CR8","doi-asserted-by":"crossref","unstructured":"He, X., Liao, L., Zhang, H., Nie, L., Hu, X., Chua, T.S.: Neural collaborative filtering. In: Proceedings of the 26th International Conference on World Wide Web (2017)","DOI":"10.1145\/3038912.3052569"},{"key":"43_CR9","doi-asserted-by":"crossref","unstructured":"Hu, Y., Koren, Y., Volinsky, C.: Collaborative filtering for implicit feedback datasets. In: Proceedings of the IEEE International Conference on Data Mining (2008)","DOI":"10.1109\/ICDM.2008.22"},{"issue":"11","key":"43_CR10","doi-asserted-by":"publisher","first-page":"3084","DOI":"10.1109\/TKDE.2015.2432811","volume":"27","author":"M Jiang","year":"2015","unstructured":"Jiang, M., Cui, P., Chen, X., Wang, F., Zhu, W., Yang, S.: Social recommendation with cross-domain transferable knowledge. IEEE Trans. Knowl. Data Eng. 27(11), 3084\u20133097 (2015)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"43_CR11","doi-asserted-by":"crossref","unstructured":"Karatzoglou, A., Hidasi, B.: Deep learning for recommender systems. In: Proceedings of the Eleventh ACM Conference on Recommender Systems (2017)","DOI":"10.1145\/3109859.3109933"},{"key":"43_CR12","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1007\/978-0-387-85820-3_5","volume-title":"Recommender Systems Handbook","author":"Y Koren","year":"2011","unstructured":"Koren, Y., Bell, R.: Advances in collaborative filtering. In: Ricci, F., Rokach, L., Shapira, B., Kantor, P.B. (eds.) Recommender Systems Handbook, pp. 145\u2013186. Springer, Boston (2011). https:\/\/doi.org\/10.1007\/978-0-387-85820-3_5"},{"issue":"8","key":"43_CR13","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 42(8), 30\u201337 (2009)","journal-title":"Computer"},{"key":"43_CR14","unstructured":"Li, B., Yang, Q., Xue, X.: Can movies and books collaborate?: cross-domain collaborative filtering for sparsity reduction. In: Proceedings of the 21st International Joint Conference on Artificial Intelligence (2009)"},{"key":"43_CR15","doi-asserted-by":"crossref","unstructured":"Li, C.Y., Lin, S.D.: Matching users and items across domains to improve the recommendation quality. In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (2014)","DOI":"10.1145\/2623330.2623657"},{"key":"43_CR16","doi-asserted-by":"crossref","unstructured":"Lian, J., Zhang, F., Xie, X., Sun, G.: CCCFNeT: a content-boosted collaborative filtering neural network for cross domain recommender systems. In: Proceedings of the 26th International Conference on World Wide Web Companion (2017)","DOI":"10.1145\/3041021.3054207"},{"key":"43_CR17","unstructured":"Liu, Y.F., Hsu, C.Y., Wu, S.H.: Non-linear cross-domain collaborative filtering via hyper-structure transfer. In: Proceedings of the 32nd International Conference on Machine Learning (2015)"},{"key":"43_CR18","doi-asserted-by":"crossref","unstructured":"Pan, W., Xiang, E., Liu, N., Yang, Q.: Transfer learning in collaborative filtering for sparsity reduction. In: AAAI Conference on Artificial Intelligence (2010)","DOI":"10.1609\/aaai.v24i1.7578"},{"key":"43_CR19","doi-asserted-by":"crossref","unstructured":"Singh, A.P., Gordon, G.J.: Relational learning via collective matrix factorization. In: ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (2008)","DOI":"10.21236\/ADA486804"},{"key":"43_CR20","doi-asserted-by":"crossref","unstructured":"Wang, X., He, X., Feng, F., Nie, L., Chua, T.S.: TEM: tree-enhanced embedding model for explainable recommendation. In: Proceedings of the 2018 World Wide Web Conference on World Wide Web (2018)","DOI":"10.1145\/3178876.3186066"},{"key":"43_CR21","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"337","DOI":"10.1007\/978-3-540-68880-8_32","volume-title":"Algorithmic Aspects in Information and Management","author":"Y Zhou","year":"2008","unstructured":"Zhou, Y., Wilkinson, D., Schreiber, R., Pan, R.: Large-scale parallel collaborative filtering for the Netflix prize. In: Fleischer, R., Xu, J. (eds.) AAIM 2008. LNCS, vol. 5034, pp. 337\u2013348. Springer, Heidelberg (2008). https:\/\/doi.org\/10.1007\/978-3-540-68880-8_32"}],"container-title":["Lecture Notes in Computer Science","PRICAI 2019: Trends in Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-29894-4_43","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,26]],"date-time":"2022-09-26T04:40:35Z","timestamp":1664167235000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-29894-4_43"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030298937","9783030298944"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-29894-4_43","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"23 August 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PRICAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Pacific Rim International Conference on Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cuvu, Yanuka Island","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Fiji","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":"26 August 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 August 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"pricai2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.pricai.org\/2019\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}