{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T09:09:31Z","timestamp":1743152971343,"version":"3.40.3"},"publisher-location":"Cham","reference-count":34,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030522483"},{"type":"electronic","value":"9783030522490"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","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\/978-3-030-52249-0_15","type":"book-chapter","created":{"date-parts":[[2020,7,3]],"date-time":"2020-07-03T11:03:49Z","timestamp":1593774229000},"page":"219-233","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Personalized Recommender Systems with Multi-source Data"],"prefix":"10.1007","author":[{"given":"Yili","family":"Wang","sequence":"first","affiliation":[]},{"given":"Tong","family":"Wu","sequence":"additional","affiliation":[]},{"given":"Fei","family":"Ma","sequence":"additional","affiliation":[]},{"given":"Shengxin","family":"Zhu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,7,4]]},"reference":[{"key":"15_CR1","doi-asserted-by":"crossref","unstructured":"Bell, R.M., Koren, Y.: Scalable collaborative filtering with jointly derived neighborhood interpolation weights. In: ICDM, vol.\u00a07, pp. 43\u201352. Citeseer (2007)","DOI":"10.1109\/ICDM.2007.90"},{"key":"15_CR2","doi-asserted-by":"publisher","first-page":"285","DOI":"10.1145\/371920.372071","volume":"1","author":"BM Sarwar","year":"2001","unstructured":"Sarwar, B.M., Karypis, G., Konstan, J.A., Riedl, J., et al.: Item-based collaborative filtering recommendation algorithms. Www 1, 285\u2013295 (2001)","journal-title":"Www"},{"issue":"1","key":"15_CR3","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/1644873.1644874","volume":"4","author":"Y Koren","year":"2010","unstructured":"Koren, Y.: Factor in the neighbors: scalable and accurate collaborative filtering. ACM Trans. Knowl. Discov. Data (TKDD) 4(1), 1 (2010)","journal-title":"ACM Trans. Knowl. Discov. Data (TKDD)"},{"key":"15_CR4","doi-asserted-by":"crossref","unstructured":"Gao, B., Zhan, G., Wang, H., Wang, Y., Zhu, S.: Learning with linear mixed model for group recommendation systems. In: Proceedings of the 2019 11th International Conference on Machine Learning and Computing, pp. 81\u201385. ACM (2019)","DOI":"10.1145\/3318299.3318342"},{"key":"15_CR5","doi-asserted-by":"crossref","unstructured":"Chen, Z., Zhu, S., Niu, Q., Lu, X.: Censorious young: knowledge discovery from high-throughput movie rating data with LME4. In: 2019 IEEE 4th International Conference on Big Data Analytics (ICBDA), pp. 32\u201336. IEEE (2019)","DOI":"10.1109\/ICBDA.2019.8713193"},{"key":"15_CR6","doi-asserted-by":"publisher","first-page":"38304","DOI":"10.1109\/ACCESS.2020.2973170","volume":"8","author":"Z Chen","year":"2020","unstructured":"Chen, Z., Zhu, S., Niu, Q., Zuo, T., Zhu, S., Niu, Q.: Knowledge discovery and recommendation with linear mixed model. Access IEEE 8, 38304\u201338317 (2020)","journal-title":"Access IEEE"},{"key":"15_CR7","doi-asserted-by":"publisher","unstructured":"Zhu, S., Gu, T., Xu, X., Mo, Z.: Information splitting for big data analytics. In: International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2016, Chengdu, China, 13\u201315 October 2016, pp. 294\u2013302 (2016). \nhttps:\/\/doi.org\/10.1109\/CyberC.2016.64","DOI":"10.1109\/CyberC.2016.64"},{"key":"15_CR8","doi-asserted-by":"crossref","unstructured":"Zhu, S.: Fast calculation of restricted maximum likelihood methods for unstructured high-throughput data. In: 2017 IEEE 2nd International Conference on Big Data Analysis (ICBDA), pp. 40\u201343, March 2017","DOI":"10.1109\/ICBDA.2017.8078871"},{"key":"15_CR9","unstructured":"Zhu, S., Wathen, A.J.: Essential formulae for restricted maximum likelihood and its derivatives associated with the linear mixed models (2018)"},{"key":"15_CR10","unstructured":"Zhu, S., Wathen, A.J.: Sparse inversion for derivative of log determinant. arXiv preprint \narXiv:1911.00685\n\n (2019)"},{"key":"15_CR11","doi-asserted-by":"publisher","unstructured":"Zhu, S., Gu, T., Liu, X.: AIMS: average information matrices splitting. Math. Found. Comput. \nhttps:\/\/doi.org\/10.3934\/mfc.2020012","DOI":"10.3934\/mfc.2020012"},{"key":"15_CR12","doi-asserted-by":"publisher","unstructured":"Lu, X., Zhu, S., Niu, Q., Chen, Z.: Profile inference from heterogeneous data - fundamentals and new trends. In: Business Information Systems - 22nd International Conference, BIS 2019, Seville, Spain, 26\u201328 June 2019, Proceedings, Part I, pp. 122\u2013136 (2019). \nhttps:\/\/doi.org\/10.1007\/978-3-030-20485-3_10","DOI":"10.1007\/978-3-030-20485-3_10"},{"key":"15_CR13","doi-asserted-by":"crossref","unstructured":"Jahrer, M., T\u00f6scher, A., Legenstein, R.: Combining predictions for accurate recommender systems. In: Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 693\u2013702. ACM (2010)","DOI":"10.1145\/1835804.1835893"},{"key":"15_CR14","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 (2008)","DOI":"10.1145\/1401890.1401944"},{"issue":"1","key":"15_CR15","doi-asserted-by":"publisher","first-page":"90","DOI":"10.1016\/j.aci.2014.10.001","volume":"12","author":"DA Adeniyi","year":"2016","unstructured":"Adeniyi, D.A., Wei, Z., Yongquan, Y.: Automated web usage data mining and recommendation system using k-nearest neighbor (KNN) classification method. Appl. Comput. Inform. 12(1), 90\u2013108 (2016)","journal-title":"Appl. Comput. Inform."},{"key":"15_CR16","doi-asserted-by":"crossref","unstructured":"Park, Y., Park, S., Jung, W., Lee, S.G.: Reversed CF: a fast collaborative filtering algorithm using a k-nearest neighbor graph. Expert Syst. Appl. 42(8), 4022\u20134028 (2015)","DOI":"10.1016\/j.eswa.2015.01.001"},{"key":"15_CR17","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1016\/j.knosys.2013.03.012","volume":"46","author":"J Bobadilla","year":"2013","unstructured":"Bobadilla, J., Ortega, F., Hernando, A., Guti\u00e9rrez, A.: Recommender systems survey. Knowl.-Based Syst. 46, 109\u2013132 (2013)","journal-title":"Knowl.-Based Syst."},{"key":"15_CR18","doi-asserted-by":"crossref","unstructured":"Sanchez, J., Serradilla, F., Martinez, E., Bobadilla, J.: Choice of metrics used in collaborative filtering and their impact on recommender systems. In: 2008 2nd IEEE International Conference on Digital Ecosystems and Technologies, pp. 432\u2013436. IEEE (2008)","DOI":"10.1109\/DEST.2008.4635147"},{"issue":"4","key":"15_CR19","first-page":"35","volume":"24","author":"A Singhal","year":"2001","unstructured":"Singhal, A., et al.: Modern information retrieval: a brief overview. IEEE Data Eng. Bull. 24(4), 35\u201343 (2001)","journal-title":"IEEE Data Eng. Bull."},{"key":"15_CR20","doi-asserted-by":"crossref","unstructured":"Miller, B.N., Albert, I., Lam, S.K., Konstan, J.A., Riedl, J.: Movielens unplugged: experiences with an occasionally connected recommender system. In: Proceedings of the 8th International Conference on Intelligent User Interfaces, pp. 263\u2013266. ACM (2003)","DOI":"10.1145\/604045.604094"},{"key":"15_CR21","doi-asserted-by":"crossref","unstructured":"Shardanand, U., Maes, P.: Social information filtering: algorithms for automating \u201cword of mouth\u201d. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 210\u2013217. Chi (1995)","DOI":"10.1145\/223904.223931"},{"key":"15_CR22","doi-asserted-by":"crossref","unstructured":"Benesty, J., Chen, J., Huang, Y., Cohen, I.: Pearson correlation coefficient. In: Noise Reduction in Speech Processing, pp. 1\u20134. Springer, Heidelberg (2009)","DOI":"10.1007\/978-3-642-00296-0_5"},{"issue":"6","key":"15_CR23","doi-asserted-by":"publisher","first-page":"550","DOI":"10.1002\/asi.10242","volume":"54","author":"P Ahlgren","year":"2003","unstructured":"Ahlgren, P., Jarneving, B., Rousseau, R.: Requirements for a cocitation similarity measure, with special reference to Pearson\u2019s correlation coefficient. J. Am. Soc. Inf. Sci. Technol. 54(6), 550\u2013560 (2003)","journal-title":"J. Am. Soc. Inf. Sci. Technol."},{"key":"15_CR24","doi-asserted-by":"crossref","unstructured":"Sarwar, B., Karypis, G., Konstan, J., Riedl, J.: Application of dimensionality reduction in recommender system-a case study. Technical report, Minnesota Univ Minneapolis Dept of Computer Science (2000)","DOI":"10.21236\/ADA439541"},{"issue":"2","key":"15_CR25","doi-asserted-by":"publisher","first-page":"1273","DOI":"10.1109\/TII.2014.2308433","volume":"10","author":"X Luo","year":"2014","unstructured":"Luo, X., Zhou, M., Xia, Y., Zhu, Q.: An efficient non-negative matrix-factorization-based approach to collaborative filtering for recommender systems. IEEE Trans. Ind. Inform. 10(2), 1273\u20131284 (2014)","journal-title":"IEEE Trans. Ind. Inform."},{"key":"15_CR26","doi-asserted-by":"crossref","unstructured":"Mehta, R., Rana, K.: A review on matrix factorization techniques in recommender systems. In: 2017 2nd International Conference on Communication Systems, Computing and IT Applications (CSCITA), pp. 269\u2013274. IEEE (2017)","DOI":"10.1109\/CSCITA.2017.8066567"},{"key":"15_CR27","unstructured":"Zheng, S., Ding, C., Nie, F.: Regularized singular value decomposition and application to recommender system. arXiv preprint \narXiv:1804.05090\n\n (2018)"},{"key":"15_CR28","unstructured":"Shamir, O.: Fast stochastic algorithms for SVD and PCA: convergence properties and convexity. In: International Conference on Machine Learning, pp. 248\u2013256 (2016)"},{"key":"15_CR29","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1109\/MC.2009.263","volume":"8","author":"Y Koren","year":"2009","unstructured":"Koren, Y., Bell, R., Volinsky, C.: Matrix factorization techniques for recommender systems. Computer 8, 30\u201337 (2009)","journal-title":"Computer"},{"key":"15_CR30","doi-asserted-by":"crossref","unstructured":"Kong, X., Yu, P.S., Ding, Y., Wild, D.J.: Meta path-based collective classification in heterogeneous information networks. In: Proceedings of the 21st ACM International Conference on Information and Knowledge Management, pp. 1567\u20131571. ACM (2012)","DOI":"10.1145\/2396761.2398474"},{"issue":"11","key":"15_CR31","doi-asserted-by":"publisher","first-page":"992","DOI":"10.14778\/3402707.3402736","volume":"4","author":"Y Sun","year":"2011","unstructured":"Sun, Y., Han, J., Yan, X., Yu, P.S., Wu, T.: Pathsim: meta path-based top-k similarity search in heterogeneous information networks. Proc. VLDB Endow. 4(11), 992\u20131003 (2011)","journal-title":"Proc. VLDB Endow."},{"issue":"4","key":"15_CR32","first-page":"19","volume":"5","author":"FM Harper","year":"2016","unstructured":"Harper, F.M., Konstan, J.A.: The movielens datasets: history and context. ACM Trans. Interact. Intell. Syst. (TIIS) 5(4), 19 (2016)","journal-title":"ACM Trans. Interact. Intell. Syst. (TIIS)"},{"key":"15_CR33","unstructured":"Melville, P., Mooney, R.J., Nagarajan, R.: Content-boosted collaborative filtering for improved recommendations. In: AAAI\/IAAI, vol. 23, pp. 187\u2013192 (2002)"},{"key":"15_CR34","doi-asserted-by":"crossref","unstructured":"Zuo, T., Zhu, S., Lu, J.: A hybrid recommender system combing singular value decomposition and linear mixed model. In: Arai, K., Bhatia, R., Kapoor, S. (eds.) SAI 2020. AISC, vol. 1228, pp. 347\u2013362. Springer, Cham (2020)","DOI":"10.1007\/978-3-030-52249-0_25"}],"container-title":["Advances in Intelligent Systems and Computing","Intelligent Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-52249-0_15","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,7,3]],"date-time":"2020-07-03T23:26:54Z","timestamp":1593818814000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-52249-0_15"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030522483","9783030522490"],"references-count":34,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-52249-0_15","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"4 July 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"SAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Science and Information Conference","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"London","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"United Kingdom","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 July 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 July 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"sai2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/saiconference.com\/Computing","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}