{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,8]],"date-time":"2024-09-08T23:18:02Z","timestamp":1725837482977},"publisher-location":"Cham","reference-count":24,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319271187"},{"type":"electronic","value":"9783319271194"}],"license":[{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015]]},"DOI":"10.1007\/978-3-319-27119-4_32","type":"book-chapter","created":{"date-parts":[[2015,11,15]],"date-time":"2015-11-15T23:39:29Z","timestamp":1447630769000},"page":"460-477","source":"Crossref","is-referenced-by-count":1,"title":["A Personalized Recommendation Approach Based on Content Similarity Calculation in Large-Scale Data"],"prefix":"10.1007","author":[{"given":"Huigui","family":"Rong","sequence":"first","affiliation":[]},{"given":"Liang","family":"Gong","sequence":"additional","affiliation":[]},{"given":"Zheng","family":"Qin","sequence":"additional","affiliation":[]},{"given":"Yupeng","family":"Hu","sequence":"additional","affiliation":[]},{"given":"Chunhua","family":"Hu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2015,12,16]]},"reference":[{"key":"32_CR1","doi-asserted-by":"crossref","unstructured":"Wang, J., Li, G., Feng, J.: Can we beat the prefix filtering?: an adaptive framework for similarity join and search. In: Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data, pp. 85\u201396. ACM (2012)","DOI":"10.1145\/2213836.2213847"},{"key":"32_CR2","doi-asserted-by":"crossref","unstructured":"Kusumoto, M., Maehara, T., Kawarabayashi, K.I.: Scalable similarity search for simrank. In: Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data, pp. 325\u2013336. ACM (2014)","DOI":"10.1145\/2588555.2610526"},{"issue":"3","key":"32_CR3","first-page":"337","volume":"34","author":"B Yang","year":"2011","unstructured":"Yang, B., Zhao, P.F.: Review of the art of recommendation algorithms. J. Shanxi Univ. (Nat Sci Ed) 34(3), 337\u2013350 (2011)","journal-title":"J. Shanxi Univ. (Nat Sci Ed)"},{"key":"32_CR4","doi-asserted-by":"crossref","unstructured":"Deng, D., Li, G., Feng, J.: A pivotal prefix based filtering algorithm for string similarity search. In: Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data, pp. 673\u2013684. ACM (2014)","DOI":"10.1145\/2588555.2593675"},{"issue":"10","key":"32_CR5","doi-asserted-by":"publisher","first-page":"939","DOI":"10.1002\/int.21556","volume":"27","author":"J Bobadilla","year":"2012","unstructured":"Bobadilla, J., Ortega, F., Hernando, A., Arroyo, \u00c1.: A balanced memory-based collaborative filtering similarity measure. Int. J. Intell. Syst. 27(10), 939\u2013946 (2012)","journal-title":"Int. J. Intell. Syst."},{"key":"32_CR6","doi-asserted-by":"crossref","unstructured":"Yin, H., Cui, B., Chen, L., Hu, Z., Huang, Z.: A temporal context-aware model for user behavior modeling in social media systems. In: Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data, pp. 1543\u20131554. ACM (2014)","DOI":"10.1145\/2588555.2593685"},{"key":"32_CR7","doi-asserted-by":"crossref","unstructured":"Wei, S., Ye, N., Zhang, S., Huang, X., Zhu, J.: Collaborative filtering recommendation algorithm based on item clustering and global similarity. In: 2012 Fifth International Conference on Business Intelligence and Financial Engineering (BIFE), pp. 69\u201372. IEEE (2012)","DOI":"10.1109\/BIFE.2012.23"},{"key":"32_CR8","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Zhu, X., Shen, Q.: A recommendation model based on collaborative filtering and factorization machines for social networks. In: 2013 5th IEEE International Conference on Broadband Network & Multimedia Technology (IC-BNMT), pp. 110\u2013114. IEEE (2013)","DOI":"10.1109\/ICBNMT.2013.6823925"},{"key":"32_CR9","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1007\/978-0-387-85820-3_3","volume-title":"Recommender Systems Handbook","author":"P Lops","year":"2011","unstructured":"Lops, P., De Gemmis, M., Semeraro, G.: Content-based recommender systems: state of the art and trends. Recommender Systems Handbook, pp. 73\u2013105. Springer, Heidelberg (2011)"},{"key":"32_CR10","doi-asserted-by":"crossref","unstructured":"Zhu, G., Lin, X., Zhu, K., Zhang, W., Yu, J.X.: Treespan: efficiently computing similarity all-matching. In: Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data, pp. 529\u2013540. ACM (2012)","DOI":"10.1145\/2213836.2213896"},{"key":"32_CR11","doi-asserted-by":"crossref","unstructured":"Zhang, J., Pu, P.: A recursive prediction algorithm for collaborative filtering recommender systems. In: Proceedings of the 2007 ACM Conference on Recommender Systems, pp. 57\u201364. ACM (2007)","DOI":"10.1145\/1297231.1297241"},{"key":"32_CR12","doi-asserted-by":"crossref","unstructured":"Pizzato, L., Rej, T., Chung, T., Koprinska, I., Kay, J.: Recon: a reciprocal recommender for online dating. In: Proceedings of the Fourth ACM Conference on Recommender Systems, pp. 207\u2013214. ACM (2010)","DOI":"10.1145\/1864708.1864787"},{"key":"32_CR13","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1007\/978-3-642-16397-5_4","volume-title":"E-business Technology and Strategy","author":"B Tian","year":"2010","unstructured":"Tian, B., Nan, L., Zheng, Q., Yang, L.: Customer credit scoring method based on the SVDD classification model with imbalanced dataset. In: Zaman, M., Liang, Y., Siddiqui, S.M., Wang, T., Liu, V., Lu, C. (eds.) CETS 2010. CCIS, vol. 113, pp. 46\u201360. Springer, Heidelberg (2010)"},{"issue":"2","key":"32_CR14","first-page":"16","volume":"35","author":"R Huigui","year":"2014","unstructured":"Huigui, R., Shengxu, H., Chunhua, H., Jinxia, M.: User similarity-based collaborative filtering recommendation algorithm. J. Commun. 35(2), 16\u201324 (2014)","journal-title":"J. Commun."},{"key":"32_CR15","first-page":"019","volume":"4","author":"Y Yang","year":"2011","unstructured":"Yang, Y., Wang, X.R., Hu, Y.C.: Researches of collaborative filtering recommendation algorithm based on user and item clustering combination. J. Guangxi Univ. Technol. 4, 019 (2011)","journal-title":"J. Guangxi Univ. Technol."},{"issue":"3","key":"32_CR16","first-page":"883","volume":"27","author":"L Yanhong","year":"2010","unstructured":"Yanhong, L., Anrong, X., Xiyun, S.: New classification algorithm k-means clustering combined with svdd. Appl. Res. Comput. 27(3), 883\u2013886 (2010)","journal-title":"Appl. Res. Comput."},{"issue":"17","key":"32_CR17","first-page":"184","volume":"35","author":"H Xiaopeng","year":"2009","unstructured":"Xiaopeng, H., Xianfeng, L., Jun, G., Ming, T.: Updated learning algorithm of support vector data description based on k-means clustering. Comput. Eng. 35(17), 184\u2013186 (2009)","journal-title":"Comput. Eng."},{"issue":"3","key":"32_CR18","first-page":"853","volume":"30","author":"L Xiao","year":"2013","unstructured":"Xiao, L., Xiangru, M., Zelong, C., Xuchun, Z.: Comprehensive evaluation for network survivability based on support vector data description. Appl. Res. Comput. 30(3), 853\u2013856 (2013)","journal-title":"Appl. Res. Comput."},{"key":"32_CR19","doi-asserted-by":"crossref","unstructured":"Lu, J., Lin, C., Wang, W., Li, C., Wang, H.: String similarity measures and joins with synonyms. In: Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data, pp. 373\u2013384. ACM (2013)","DOI":"10.1145\/2463676.2465313"},{"key":"32_CR20","unstructured":"Shizhe, S.: Research on the locality sensitive hashing. Master\u2019s thesis, Xidian University (2013)"},{"key":"32_CR21","unstructured":"Joachims, T.: Svmlight: support vector machine. SVM-Light Support Vector Machine, 19(4)U. University of Dortmund (1999). \n                      http:\/svmlight.joachims.org\/"},{"issue":"3","key":"32_CR22","first-page":"27","volume":"2","author":"CC Chang","year":"2011","unstructured":"Chang, C.C., Lin, C.J.: Libsvm: a library for support vector machines. ACM Trans. Intell. Syst. Technol. (TIST) 2(3), 27 (2011)","journal-title":"ACM Trans. Intell. Syst. Technol. (TIST)"},{"key":"32_CR23","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"283","DOI":"10.1007\/978-3-642-39065-4_35","volume-title":"Advances in Neural Networks \u2013 ISNN 2013","author":"Z Wang","year":"2013","unstructured":"Wang, Z., Zhao, Z.-S., Zhang, C.: SVM-SVDD: a new method to solve data description problem with negative examples. In: Guo, C., Hou, Z.-G., Zeng, Z. (eds.) ISNN 2013, Part I. LNCS, vol. 7951, pp. 283\u2013290. Springer, Heidelberg (2013)"},{"issue":"1","key":"32_CR24","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1145\/963770.963772","volume":"22","author":"JL Herlocker","year":"2004","unstructured":"Herlocker, J.L., Konstan, J.A., Terveen, L.G., Riedl, J.T.: Evaluating collaborative filtering recommender systems. ACM Trans. Inf. Syst. (TOIS) 22(1), 5\u201353 (2004)","journal-title":"ACM Trans. Inf. Syst. (TOIS)"}],"container-title":["Lecture Notes in Computer Science","Algorithms and Architectures for Parallel Processing"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-27119-4_32","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,31]],"date-time":"2019-05-31T11:10:07Z","timestamp":1559301007000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-27119-4_32"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"ISBN":["9783319271187","9783319271194"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-27119-4_32","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2015]]}}}