{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,17]],"date-time":"2025-10-17T14:01:10Z","timestamp":1760709670103,"version":"3.37.3"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319982038"},{"type":"electronic","value":"9783319982045"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","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":[[2018]]},"DOI":"10.1007\/978-3-319-98204-5_12","type":"book-chapter","created":{"date-parts":[[2018,7,26]],"date-time":"2018-07-26T07:40:12Z","timestamp":1532590812000},"page":"145-157","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["A Triangle Multi-level Item-Based Collaborative Filtering Method that Improves Recommendations"],"prefix":"10.1007","author":[{"given":"Gharbi","family":"Alshammari","sequence":"first","affiliation":[]},{"given":"Stelios","family":"Kapetanakis","sequence":"additional","affiliation":[]},{"given":"Nikolaos","family":"Polatidis","sequence":"additional","affiliation":[]},{"given":"Miltos","family":"Petridis","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,7,27]]},"reference":[{"key":"12_CR1","unstructured":"Yahoo! research webscope movie data set. version1.0. http:\/\/research.yahoo.com\/"},{"key":"12_CR2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-29659-3","volume-title":"Recommender Systems","author":"CC Aggarwal","year":"2016","unstructured":"Aggarwal, C.C., et al.: Recommender Systems. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-29659-3"},{"key":"12_CR3","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1007\/978-3-319-61030-6_3","volume-title":"Case-Based Reasoning Research and Development","author":"G Alshammari","year":"2017","unstructured":"Alshammari, G., Jorro-Aragoneses, J.L., Kapetanakis, S., Petridis, M., Recio-Garc\u00eda, J.A., D\u00edaz-Agudo, B.: A hybrid CBR approach for the long tail problem in recommender systems. In: Aha, D.W., Lieber, J. (eds.) ICCBR 2017. LNCS (LNAI), vol. 10339, pp. 35\u201345. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-61030-6_3"},{"key":"12_CR4","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."},{"issue":"4","key":"12_CR5","doi-asserted-by":"publisher","first-page":"331","DOI":"10.1023\/A:1021240730564","volume":"12","author":"R Burke","year":"2002","unstructured":"Burke, R.: Hybrid recommender systems: survey and experiments. User Model. User Adap. Inter. 12(4), 331\u2013370 (2002)","journal-title":"User Model. User Adap. Inter."},{"key":"12_CR6","doi-asserted-by":"crossref","unstructured":"Gedikli, F., Jannach, D.: Recommending based on rating frequencies: accurate enough? In: Proceedings of the 8th Workshop on Intelligent Techniques for Web Personalization & Recommender Systems at UMAP10, pp. 65\u201370 (2010)","DOI":"10.1145\/1864708.1864755"},{"issue":"12","key":"12_CR7","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1145\/138859.138867","volume":"35","author":"D Goldberg","year":"1992","unstructured":"Goldberg, D., Nichols, D., Oki, B.M., Terry, D.: Using collaborative filtering to weave an information tapestry. Commun. ACM 35(12), 61\u201370 (1992)","journal-title":"Commun. ACM"},{"issue":"4","key":"12_CR8","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":"12_CR9","doi-asserted-by":"crossref","unstructured":"Herlocker, J.L., Konstan, J.A., Borchers, A., Riedl, J.: An algorithmic framework for performing collaborative filtering. In: Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 230\u2013237. ACM (1999)","DOI":"10.1145\/312624.312682"},{"issue":"1","key":"12_CR10","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)"},{"issue":"5","key":"12_CR11","doi-asserted-by":"publisher","first-page":"602","DOI":"10.1016\/j.ins.2009.10.016","volume":"180","author":"B Jeong","year":"2010","unstructured":"Jeong, B., Lee, J., Cho, H.: Improving memory-based collaborative filtering via similarity updating and prediction modulation. Inf. Sci. 180(5), 602\u2013612 (2010)","journal-title":"Inf. Sci."},{"key":"12_CR12","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1016\/j.swevo.2017.04.004","volume":"36","author":"R Katarya","year":"2017","unstructured":"Katarya, R., Verma, O.P.: Effectual recommendations using artificial algae algorithm and fuzzy c-mean. Swarm Evol. Comput. 36, 52\u201361 (2017)","journal-title":"Swarm Evol. Comput."},{"issue":"1\u20132","key":"12_CR13","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1007\/s11257-011-9112-x","volume":"22","author":"JA Konstan","year":"2012","unstructured":"Konstan, J.A., Riedl, J.: Recommender systems: from algorithms to user experience. User Model. User Adap. Inter. 22(1\u20132), 101\u2013123 (2012)","journal-title":"User Model. User Adap. Inter."},{"key":"12_CR14","doi-asserted-by":"crossref","unstructured":"Mikolov, T., Karafi\u00e1t, M., Burget, L., \u010cernock\u1ef3, J., Khudanpur, S.: Recurrent neural network based language model. In: Eleventh Annual Conference of the International Speech Communication Association (2010)","DOI":"10.1109\/ICASSP.2011.5947611"},{"key":"12_CR15","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":"12_CR16","doi-asserted-by":"publisher","first-page":"100","DOI":"10.1016\/j.eswa.2015.11.023","volume":"48","author":"N Polatidis","year":"2016","unstructured":"Polatidis, N., Georgiadis, C.K.: A multi-level collaborative filtering method that improves recommendations. Expert Syst. Appl. 48, 100\u2013110 (2016)","journal-title":"Expert Syst. Appl."},{"key":"12_CR17","doi-asserted-by":"crossref","unstructured":"Resnick, P., Iacovou, N., Suchak, M., Bergstrom, P., Riedl, J.: Grouplens: an open architecture for collaborative filtering of netnews. In: Proceedings of the 1994 ACM Conference on Computer Supported Cooperative Work, pp. 175\u2013186. ACM (1994)","DOI":"10.1145\/192844.192905"},{"key":"12_CR18","doi-asserted-by":"crossref","unstructured":"Sarwar, B., Karypis, G., Konstan, J., Riedl, J.: Item-based collaborative filtering recommendation algorithms. In: Proceedings of the 10th International Conference on World Wide Web, pp. 285\u2013295. ACM (2001)","DOI":"10.1145\/371920.372071"},{"key":"12_CR19","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"378","DOI":"10.1007\/978-3-319-62698-7_31","volume-title":"Knowledge Management in Organizations","author":"K Shen","year":"2017","unstructured":"Shen, K., Liu, Y., Zhang, Z.: Modified similarity algorithm for collaborative filtering. In: Uden, L., Lu, W., Ting, I.-H. (eds.) KMO 2017. CCIS, vol. 731, pp. 378\u2013385. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-62698-7_31"},{"issue":"1","key":"12_CR20","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1145\/2556270","volume":"47","author":"Y Shi","year":"2014","unstructured":"Shi, Y., Larson, M., Hanjalic, A.: Collaborative filtering beyond the user-item matrix: a survey of the state of the art and future challenges. ACM Comput. Surv. (CSUR) 47(1), 3 (2014)","journal-title":"ACM Comput. Surv. (CSUR)"},{"issue":"8","key":"12_CR21","doi-asserted-by":"publisher","first-page":"e0183570","DOI":"10.1371\/journal.pone.0183570","volume":"12","author":"SB Sun","year":"2017","unstructured":"Sun, S.B., et al.: Integrating triangle and jaccard similarities for recommendation. PloS One 12(8), e0183570 (2017)","journal-title":"PloS One"},{"key":"12_CR22","doi-asserted-by":"publisher","first-page":"27211","DOI":"10.1109\/ACCESS.2017.2778424","volume":"5","author":"Z Tan","year":"2017","unstructured":"Tan, Z., He, L.: An efficient similarity measure for user-based collaborative filtering recommender systems inspired by the physical resonance principle. IEEE Access 5, 27211\u201327228 (2017)","journal-title":"IEEE Access"},{"key":"12_CR23","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1016\/j.elerap.2016.01.003","volume":"18","author":"S Wei","year":"2016","unstructured":"Wei, S., Zheng, X., Chen, D., Chen, C.: A hybrid approach for movie recommendation via tags and ratings. Electron. Commer. Res. Appl. 18, 83\u201394 (2016)","journal-title":"Electron. Commer. Res. Appl."},{"issue":"2","key":"12_CR24","doi-asserted-by":"publisher","first-page":"435","DOI":"10.1109\/TASL.2007.911503","volume":"16","author":"K Yoshii","year":"2008","unstructured":"Yoshii, K., Goto, M., Komatani, K., Ogata, T., Okuno, H.G.: An efficient hybrid music recommender system using an incrementally trainable probabilistic generative model. IEEE Trans. Audio Speech Lang. Process. 16(2), 435\u2013447 (2008)","journal-title":"IEEE Trans. Audio Speech Lang. Process."}],"container-title":["Communications in Computer and Information Science","Engineering Applications of Neural Networks"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-98204-5_12","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,21]],"date-time":"2019-10-21T05:00:15Z","timestamp":1571634015000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-98204-5_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319982038","9783319982045"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-98204-5_12","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2018]]}}}