{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T17:41:33Z","timestamp":1742924493166,"version":"3.40.3"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319075921"},{"type":"electronic","value":"9783319075938"}],"license":[{"start":{"date-parts":[[2014,1,1]],"date-time":"2014-01-01T00:00:00Z","timestamp":1388534400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2014,1,1]],"date-time":"2014-01-01T00:00:00Z","timestamp":1388534400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014]]},"DOI":"10.1007\/978-3-319-07593-8_64","type":"book-chapter","created":{"date-parts":[[2014,5,30]],"date-time":"2014-05-30T10:05:44Z","timestamp":1401444344000},"page":"553-560","source":"Crossref","is-referenced-by-count":2,"title":["An Item Influence-Centric Algorithm for Recommender Systems"],"prefix":"10.1007","author":[{"given":"Na","family":"Chang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mhd","family":"Irvan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Takao","family":"Terano","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"issue":"6","key":"64_CR1","doi-asserted-by":"publisher","first-page":"734","DOI":"10.1109\/TKDE.2005.99","volume":"17","author":"G. Adomavicius","year":"2000","unstructured":"Adomavicius, G., Tuzhili, A.: Toward the next generation of recommender systems: Asurvey of the state-of-the-art and possible extensions. IEEE Transaction on Knowledge and Data Engineering\u00a017(6), 734\u2013749 (2000)","journal-title":"IEEE Transaction on Knowledge and Data Engineering"},{"key":"64_CR2","doi-asserted-by":"crossref","unstructured":"Lops, P., Gemmis, M., Semeraro, G.: Content-based recommender systems: State of the art and trends. Recommender Systems Handbook. Springer Science and Business Media (2011)","DOI":"10.1007\/978-0-387-85820-3_3"},{"key":"64_CR3","doi-asserted-by":"crossref","unstructured":"Sarwar, B., Kar, Y.G., Konstan, J.: Item-based collaborative filtering recommendation algorithms. In: Proceedings of the 10th International World Wide Web Conference, New York, USA (2001)","DOI":"10.1145\/371920.372071"},{"issue":"4","key":"64_CR4","doi-asserted-by":"publisher","first-page":"1777","DOI":"10.1016\/j.physa.2011.09.017","volume":"391","author":"D. Chen","year":"2011","unstructured":"Chen, D., Lu, L., Shang, M.S., Zhang, Y.C., Zhou, T.: Identifying influential nodes in complex networks. Statistical Mechanicis and its Applications\u00a0391(4), 1777\u20131787 (2011)","journal-title":"Statistical Mechanicis and its Applications"},{"key":"64_CR5","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1016\/S0378-8733(96)00300-0","volume":"19","author":"K. Faust","year":"1997","unstructured":"Faust, K.: Centrality in affiliation networks. Social Networks\u00a019, 167\u2013191 (1997)","journal-title":"Social Networks"},{"key":"64_CR6","doi-asserted-by":"crossref","unstructured":"Morid, M.A., Shajari, M., Golpayegni, A.H.: Who are the Most Influential Users in a Recommender System? In: Proceedings of the 13th International Conference on Electronic Commerce. ACM, New York (2012)","DOI":"10.1145\/2378104.2378123"},{"key":"64_CR7","unstructured":"Rashid, A.M.: Mining influence in recommender systems. Doctoral Dissertation. University of Minnesota Minneapolis (2007)"},{"issue":"1","key":"64_CR8","doi-asserted-by":"publisher","first-page":"76","DOI":"10.1109\/MIC.2003.1167344","volume":"7","author":"G. Linden","year":"2003","unstructured":"Linden, G., Smith, B., York, J.: Amazon.com recommendations: Item-to-item collaborative filtering. IEEE Internet Computing\u00a07(1), 76\u201380 (2003)","journal-title":"IEEE Internet Computing"},{"key":"64_CR9","unstructured":"Breese, J.S., Heckerman, D., Kadie, C.: Empirical analysis of predictive algorithms for collaborative filtering. In: Proceedings of the 14th Annual Conf. on Uncertainty in Artificial Intelligence, pp. 43\u201352. Morgan Kaufmann (1998)"},{"key":"64_CR10","doi-asserted-by":"crossref","unstructured":"Grcar, M., Fortuna, B., Mladenic, D., Grobelnik, M.: k-NN versus SVM in the collaborative filtering framework. Data Science and Classification, 251\u2013260 (2006)","DOI":"10.1007\/3-540-34416-0_27"},{"key":"64_CR11","doi-asserted-by":"crossref","unstructured":"Koren, Y.: Factorization meets the neighborhood: A multifaceted collaborative filtering model. In: 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Las Vegas, Nevada, USA (2008)","DOI":"10.1145\/1401890.1401944"},{"key":"64_CR12","unstructured":"Paterek, A.: Improving regularized singular value decomposition for collaborative filtering. In: Proceedings of the KDD Cup and Workshop (2007)"},{"key":"64_CR13","doi-asserted-by":"crossref","unstructured":"Shang, S., Hui, P., Kulkarni, S.R., Cuff, P.W.: Wisdom of the Crowd: Incorporating Social Influence in Recommendation Models. CoRR abs\/1208.0782 (2012)","DOI":"10.1109\/ICPADS.2011.150"},{"key":"64_CR14","doi-asserted-by":"crossref","unstructured":"Rubens, N., Sugiyama, M.: Influence-based collaborative active learning. In: Proceedings of the 2007 ACM Conference on Recommender Systems, pp. 145\u2013148 (2007)","DOI":"10.1145\/1297231.1297257"},{"key":"64_CR15","doi-asserted-by":"crossref","unstructured":"Rashid, A.M., Karypis, G., Riedl, J.: Influence in Ratings-based Recommender Systems: An Algorithm-Independent Approach. In: Proceedings of 5th SIAM International Conference on Data Mining, Newport Beach, California (2005)","DOI":"10.1137\/1.9781611972757.60"},{"key":"64_CR16","doi-asserted-by":"crossref","unstructured":"Arora, I., Panchal, V.K.: An MIU Most Influential Users-Based Model for Recommender Systems. In: IEEE 24th International Conference on Advanced Information Networking and Applications Workshops, pp. 638\u2013643 (2010)","DOI":"10.1109\/WAINA.2010.136"},{"key":"64_CR17","doi-asserted-by":"crossref","unstructured":"Sarwar, B.M., Karypis, G., Konstan, J.A., Riedl, J.: Analysis of recommendation algorithms for E-commerce. In: Proceedings of the ACM E-Commerce, Minneapolis, Minnesota (2000)","DOI":"10.1145\/352871.352887"},{"key":"64_CR18","doi-asserted-by":"publisher","first-page":"343","DOI":"10.1037\/0003-066X.36.4.343","volume":"36","author":"B. Latan\u00e9","year":"1981","unstructured":"Latan\u00e9, B.: The psychology of social impact. American Psychologist\u00a036, 343\u2013356 (1981)","journal-title":"American Psychologist"}],"container-title":["Advances in Intelligent Systems and Computing","Distributed Computing and Artificial Intelligence, 11th International Conference"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-07593-8_64","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,2]],"date-time":"2023-02-02T13:52:16Z","timestamp":1675345936000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-07593-8_64"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014]]},"ISBN":["9783319075921","9783319075938"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-07593-8_64","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2014]]}}}