{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,9]],"date-time":"2026-06-09T14:52:46Z","timestamp":1781016766383,"version":"3.54.1"},"publisher-location":"Cham","reference-count":41,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031578526","type":"print"},{"value":"9783031578533","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-3-031-57853-3_6","type":"book-chapter","created":{"date-parts":[[2024,4,9]],"date-time":"2024-04-09T04:01:52Z","timestamp":1712635312000},"page":"62-73","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["An Empirical Comparison of\u00a0Outlier Detection Methods for\u00a0Identifying Grey-Sheep Users in\u00a0Recommender Systems"],"prefix":"10.1007","author":[{"given":"Yong","family":"Zheng","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,4,10]]},"reference":[{"key":"6_CR1","doi-asserted-by":"crossref","unstructured":"Aggarwal, C.C.: An Introduction to Outlier Analysis. Springer, Cham (2017)","DOI":"10.1007\/978-3-319-47578-3"},{"key":"6_CR2","doi-asserted-by":"crossref","unstructured":"Aggarwal, C.C.: Supervised outlier detection. In: Outlier Analysis, pp. 219\u2013248 (2017)","DOI":"10.1007\/978-3-319-47578-3_7"},{"key":"6_CR3","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2020.114061","volume":"166","author":"R Alabdulrahman","year":"2021","unstructured":"Alabdulrahman, R., Viktor, H.: Catering for unique tastes: targeting grey-sheep users recommender systems through one-class machine learning. Expert Syst. Appl. 166, 114061 (2021)","journal-title":"Expert Syst. Appl."},{"key":"6_CR4","series-title":"LNCS","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1007\/3-540-45681-3_2","volume-title":"European conference on principles of data mining and knowledge discovery","author":"F Angiulli","year":"2002","unstructured":"Angiulli, F., Pizzuti, C.: Fast outlier detection in high dimensional spaces. In: Elomaa, T., Mannila, H., Toivonen, H. (eds.) PKDD 2002. LNCS, vol. 2431, pp. 15\u201327. Springer, Heidelberg (2002). https:\/\/doi.org\/10.1007\/3-540-45681-3_2"},{"key":"6_CR5","doi-asserted-by":"publisher","first-page":"225","DOI":"10.1016\/j.knosys.2011.07.021","volume":"26","author":"J Bobadilla","year":"2012","unstructured":"Bobadilla, J., Ortega, F., Hernando, A., Bernal, J.: A collaborative filtering approach to mitigate the new user cold start problem. Knowl.-Based Syst. 26, 225\u2013238 (2012)","journal-title":"Knowl.-Based Syst."},{"key":"6_CR6","doi-asserted-by":"crossref","unstructured":"Breunig, M.M., Kriegel, H.P., Ng, R.T., Sander, J.: LoF: identifying density-based local outliers. In: ACM Sigmod Record, vol. 29, pp. 93\u2013104. ACM (2000)","DOI":"10.1145\/335191.335388"},{"key":"6_CR7","doi-asserted-by":"publisher","first-page":"891","DOI":"10.1007\/s10618-015-0444-8","volume":"30","author":"GO Campos","year":"2016","unstructured":"Campos, G.O., Zimek, A., Sander, J., Campello, R.J., Micenkov\u00e1, B., Schubert, E., Assent, I., Houle, M.E.: On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study. Data Min. Knowl. Disc. 30, 891\u2013927 (2016)","journal-title":"Data Min. Knowl. Disc."},{"issue":"6","key":"6_CR8","doi-asserted-by":"publisher","first-page":"1487","DOI":"10.3233\/IDA-163209","volume":"21","author":"E \u00c7ano","year":"2017","unstructured":"\u00c7ano, E., Morisio, M.: Hybrid recommender systems: a systematic literature review. Intell. Data Anal. 21(6), 1487\u20131524 (2017)","journal-title":"Intell. Data Anal."},{"issue":"3","key":"6_CR9","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1145\/1541880.1541882","volume":"41","author":"V Chandola","year":"2009","unstructured":"Chandola, V., Banerjee, A., Kumar, V.: Anomaly detection: a survey. ACM Comput. Surv. (CSUR) 41(3), 15 (2009)","journal-title":"ACM Comput. Surv. (CSUR)"},{"key":"6_CR10","unstructured":"Claypool, M., Gokhale, A., Miranda, T., Murnikov, P., Netes, D., Sartin, M.: Combining content-based and collaborative filters in an online newspaper. In: Proceedings of ACM SIGIR Workshop on Recommender Systems, vol. 60 (1999)"},{"key":"6_CR11","doi-asserted-by":"crossref","unstructured":"Ekstrand, M.D., Riedl, J.T., Konstan, J.A., et\u00a0al.: Collaborative filtering recommender systems. Found. Trends\u00ae Hum.-Comput. Interact. 4(2), 81\u2013173 (2011)","DOI":"10.1561\/1100000009"},{"key":"6_CR12","doi-asserted-by":"crossref","unstructured":"Gao, J., Cheng, H., Tan, P.N.: Semi-supervised outlier detection. In: Proceedings of the 2006 ACM Symposium on Applied Computing, pp. 635\u2013636 (2006)","DOI":"10.1145\/1141277.1141421"},{"key":"6_CR13","unstructured":"Ghazanfar, M., Prugel-Bennett, A.: Fulfilling the needs of gray-sheep users in recommender systems, a clustering solution. In: Proceedings of the 2011 International Conference on Information Systems and Computational Intelligence, pp. 18\u201320 (2011)"},{"issue":"7","key":"6_CR14","doi-asserted-by":"publisher","first-page":"3261","DOI":"10.1016\/j.eswa.2013.11.010","volume":"41","author":"MA Ghazanfar","year":"2014","unstructured":"Ghazanfar, M.A., Pr\u00fcgel-Bennett, A.: Leveraging clustering approaches to solve the gray-sheep users problem in recommender systems. Expert Syst. Appl. 41(7), 3261\u20133275 (2014)","journal-title":"Expert Syst. Appl."},{"key":"6_CR15","unstructured":"Goldstein, M., Dengel, A.: Histogram-based outlier score (HBOS): a fast unsupervised anomaly detection algorithm. In: KI-2012: Poster and Demo Track, vol. 1, pp. 59\u201363 (2012)"},{"key":"6_CR16","doi-asserted-by":"crossref","unstructured":"Goodge, A., Hooi, B., Ng, S.K., Ng, W.S.: Lunar: unifying local outlier detection methods via graph neural networks. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 36, pp. 6737\u20136745 (2022)","DOI":"10.1609\/aaai.v36i6.20629"},{"key":"6_CR17","doi-asserted-by":"crossref","unstructured":"Gras, B., Brun, A., Boyer, A.: Identifying grey sheep users in collaborative filtering: a distribution-based technique. In: Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, pp. 17\u201326. ACM (2016)","DOI":"10.1145\/2930238.2930242"},{"key":"6_CR18","series-title":"LNCS","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1007\/11891321_4","volume-title":"Advances in Web Mining and Web Usage Analysis: 7th International Workshop on Knowledge Discovery on the Web","author":"M Gr\u010dar","year":"2006","unstructured":"Gr\u010dar, M., Mladeni\u010d, D., Fortuna, B., Grobelnik, M.: Data sparsity issues in the collaborative filtering framework. In: Nasraoui, O., Za\u00efane, O., Spiliopoulou, M., Mobasher, B., Masand, B., Yu, P.S. (eds.) WebKDD 2005. LNCS, vol. 4198, pp. 58\u201376. Springer, Heidelberg (2006). https:\/\/doi.org\/10.1007\/11891321_4"},{"key":"6_CR19","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, pp. 173\u2013182 (2017)","DOI":"10.1145\/3038912.3052569"},{"issue":"9\u201310","key":"6_CR20","doi-asserted-by":"publisher","first-page":"1641","DOI":"10.1016\/S0167-8655(03)00003-5","volume":"24","author":"Z He","year":"2003","unstructured":"He, Z., Xu, X., Deng, S.: Discovering cluster-based local outliers. Pattern Recogn. Lett. 24(9\u201310), 1641\u20131650 (2003)","journal-title":"Pattern Recogn. Lett."},{"issue":"2","key":"6_CR21","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1023\/B:AIRE.0000045502.10941.a9","volume":"22","author":"V Hodge","year":"2004","unstructured":"Hodge, V., Austin, J.: A survey of outlier detection methodologies. Artif. Intell. Rev. 22(2), 85\u2013126 (2004)","journal-title":"Artif. Intell. Rev."},{"key":"6_CR22","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1007\/s40558-014-0010-z","volume":"14","author":"D Jannach","year":"2014","unstructured":"Jannach, D., Zanker, M., Fuchs, M.: Leveraging multi-criteria customer feedback for satisfaction analysis and improved recommendations. Inf. Technol. Tourism 14, 119\u2013149 (2014)","journal-title":"Inf. Technol. Tourism"},{"key":"6_CR23","series-title":"LNNS","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1007\/978-981-15-9689-6_24","volume-title":"Information Management and Machine Intelligence: ICIMMI 2020","author":"B Kaur","year":"2021","unstructured":"Kaur, B., Rani, S.: Identification of gray sheep using different clustering algorithms. In: Goyal, D., Gupta, A.K., Piuri, V., Ganzha, M., Paprzycki, M. (eds.) ICIMMI 2020. LNNS, vol. 166, pp. 211\u2013217. Springer, Singapore (2021). https:\/\/doi.org\/10.1007\/978-981-15-9689-6_24"},{"issue":"8","key":"6_CR24","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":"6_CR25","doi-asserted-by":"crossref","unstructured":"Kriegel, H.P., Schubert, M., Zimek, A.: Angle-based outlier detection in high-dimensional data. In: Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 444\u2013452 (2008)","DOI":"10.1145\/1401890.1401946"},{"key":"6_CR26","doi-asserted-by":"crossref","unstructured":"Liu, F.T., Ting, K.M., Zhou, Z.H.: Isolation forest. In: 2008 Eighth IEEE International Conference on Data Mining, pp. 413\u2013422. IEEE (2008)","DOI":"10.1109\/ICDM.2008.17"},{"key":"6_CR27","doi-asserted-by":"crossref","unstructured":"Lops, P., De\u00a0Gemmis, M., Semeraro, G.: Content-based recommender systems: state of the art and trends. In: Recommender Systems Handbook, pp. 73\u2013105 (2011)","DOI":"10.1007\/978-0-387-85820-3_3"},{"key":"6_CR28","unstructured":"McCrae, J., Piatek, A., Langley, A.: Collaborative filtering (2004). http:\/\/www.imperialviolet.org"},{"key":"6_CR29","doi-asserted-by":"crossref","unstructured":"Pan, W., Xiang, E., Liu, N., Yang, Q.: Transfer learning in collaborative filtering for sparsity reduction. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol.\u00a024, pp. 230\u2013235 (2010)","DOI":"10.1609\/aaai.v24i1.7578"},{"key":"6_CR30","doi-asserted-by":"crossref","unstructured":"Ramaswamy, S., Rastogi, R., Shim, K.: Efficient algorithms for mining outliers from large data sets. In: Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data, pp. 427\u2013438 (2000)","DOI":"10.1145\/342009.335437"},{"key":"6_CR31","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":"6_CR32","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 (2001)","DOI":"10.1145\/371920.372071"},{"issue":"7","key":"6_CR33","doi-asserted-by":"publisher","first-page":"1443","DOI":"10.1162\/089976601750264965","volume":"13","author":"B Sch\u00f6lkopf","year":"2001","unstructured":"Sch\u00f6lkopf, B., Platt, J.C., Shawe-Taylor, J., Smola, A.J., Williamson, R.C.: Estimating the support of a high-dimensional distribution. Neural Comput. 13(7), 1443\u20131471 (2001)","journal-title":"Neural Comput."},{"key":"6_CR34","unstructured":"Shyu, M.L., Chen, S.C., Sarinnapakorn, K., Chang, L.: A novel anomaly detection scheme based on principal component classifier. In: Proceedings of the IEEE Foundations and New Directions of Data Mining Workshop, pp. 172\u2013179. IEEE Press (2003)"},{"key":"6_CR35","doi-asserted-by":"crossref","unstructured":"Su, X., Khoshgoftaar, T.M.: A survey of collaborative filtering techniques. In: Advances in Artificial Intelligence, vol. 2009, p. 4 (2009)","DOI":"10.1155\/2009\/421425"},{"key":"6_CR36","doi-asserted-by":"crossref","unstructured":"Tennakoon, A., Gamlath, N., Kirindage, G., Ranatunga, J., Haddela, P., Kaveendri, D.: Hybrid recommender for condensed sinhala news with grey sheep user identification. In: 2020 2nd International Conference on Advancements in Computing (ICAC), vol. 1, pp. 228\u2013233. IEEE (2020)","DOI":"10.1109\/ICAC51239.2020.9357158"},{"key":"6_CR37","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1016\/j.eswa.2016.09.040","volume":"69","author":"J Wei","year":"2017","unstructured":"Wei, J., He, J., Chen, K., Zhou, Y., Tang, Z.: Collaborative filtering and deep learning based recommendation system for cold start items. Expert Syst. Appl. 69, 29\u201339 (2017)","journal-title":"Expert Syst. Appl."},{"key":"6_CR38","doi-asserted-by":"crossref","unstructured":"Zhao, Y., Nasrullah, Z., Hryniewicki, M.K., Li, Z.: LSCP: locally selective combination in parallel outlier ensembles. In: Proceedings of the 2019 SIAM International Conference on Data Mining, pp. 585\u2013593. SIAM (2019)","DOI":"10.1137\/1.9781611975673.66"},{"key":"6_CR39","unstructured":"Zhao, Y., Nasrullah, Z., Li, Z.: PyOD: a python toolbox for scalable outlier detection. J. Mach. Learn. Res. 20(96), 1\u20137 (2019). http:\/\/jmlr.org\/papers\/v20\/19-011.html"},{"key":"6_CR40","series-title":"LNCS","doi-asserted-by":"publisher","first-page":"148","DOI":"10.1007\/978-3-319-69179-4_11","volume-title":"Advanced Data Mining and Applications","author":"Y Zheng","year":"2017","unstructured":"Zheng, Y., Agnani, M., Singh, M.: Identification of grey sheep users by histogram intersection in recommender systems. In: Cong, G., Peng, W.C., Zhang, W., Li, C., Sun, A. (eds.) ADMA 2017. LNCS, vol. 10604, pp. 148\u2013161. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-69179-4_11"},{"key":"6_CR41","doi-asserted-by":"crossref","unstructured":"Zheng, Y., Agnani, M., Singh, M.: Identifying grey sheep users by the distribution of user similarities in collaborative filtering. In: Proceedings of The 6th ACM Conference on Research in Information Technology. ACM (2017)","DOI":"10.1145\/3125649.3125651"}],"container-title":["Lecture Notes on Data Engineering and Communications Technologies","Advanced Information Networking and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-57853-3_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,4,9]],"date-time":"2024-04-09T04:02:53Z","timestamp":1712635373000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-57853-3_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031578526","9783031578533"],"references-count":41,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-57853-3_6","relation":{},"ISSN":["2367-4512","2367-4520"],"issn-type":[{"value":"2367-4512","type":"print"},{"value":"2367-4520","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"10 April 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AINA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Advanced Information Networking and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Kitakyushu","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Japan","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 April 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 April 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"38","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aina2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/voyager.ce.fit.ac.jp\/conf\/aina\/2024\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}