{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,11]],"date-time":"2025-09-11T19:41:35Z","timestamp":1757619695782,"version":"3.44.0"},"publisher-location":"Cham","reference-count":23,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031789243"},{"type":"electronic","value":"9783031789250"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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":[[2025]]},"DOI":"10.1007\/978-3-031-78925-0_31","type":"book-chapter","created":{"date-parts":[[2025,7,26]],"date-time":"2025-07-26T08:07:10Z","timestamp":1753517230000},"page":"317-323","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["K-Nearest Neighborhood Based Hybrid Recommendation System Using Collaborative Filtering and Meta-Learning"],"prefix":"10.1007","author":[{"given":"Hrriday","family":"Agarwal","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lakshay","family":"Raghav","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Krittin","family":"Nagar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6709-6591","authenticated-orcid":false,"given":"Seba","family":"Susan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,7,27]]},"reference":[{"key":"31_CR1","first-page":"1","volume-title":"2015 Annual IEEE India Conference (INDICON)","author":"M Maniktala","year":"2015","unstructured":"Maniktala, M., Sachdev, S., Bansal, N., Susan, S.: Finding the most informational friends in a social network based recommender system. In: 2015 Annual IEEE India Conference (INDICON), pp. 1\u20136. IEEE (2015)"},{"issue":"8","key":"31_CR2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3556536","volume":"55","author":"E Zangerle","year":"2022","unstructured":"Zangerle, E., Bauer, C.: Evaluating recommender systems: survey and framework. ACM Comput. Surv. 55(8), 1\u201338 (2022)","journal-title":"ACM Comput. Surv."},{"issue":"1","key":"31_CR3","first-page":"90","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. Inf. 12(1), 90\u2013108 (2016)","journal-title":"Appl. Comput. Inf."},{"issue":"1","key":"31_CR4","doi-asserted-by":"publisher","first-page":"75","DOI":"10.1007\/s40009-021-01051-0","volume":"45","author":"S Airen","year":"2022","unstructured":"Airen, S., Agrawal, J.: Movie recommender system using k-nearest neighbors variants. Natl. Acad. Sci. Lett. 45(1), 75\u201382 (2022)","journal-title":"Natl. Acad. Sci. Lett."},{"key":"31_CR5","doi-asserted-by":"publisher","first-page":"291","DOI":"10.1007\/978-3-540-72079-9_9","volume-title":"The Adaptive Web: Methods and Strategies of Web Personalization","author":"J Ben Schafer","year":"2007","unstructured":"Ben Schafer, J., Frankowski, D., Herlocker, J., Sen, S.: Collaborative filtering recommender systems. In: The Adaptive Web: Methods and Strategies of Web Personalization, pp. 291\u2013324. Springer Berlin Heidelberg, Berlin, Heidelberg (2007)"},{"issue":"2","key":"31_CR6","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1561\/1100000009","volume":"4","author":"MD Ekstrand","year":"2011","unstructured":"Ekstrand, M.D., Riedl, J.T., Konstan, J.A.: Collaborative filtering recommender systems. Found. Trends Hum.\u2013Comput. Interact. 4(2), 81\u2013173 (2011)","journal-title":"Found. Trends Hum.\u2013Comput. Interact."},{"issue":"8","key":"31_CR7","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":"31_CR8","first-page":"3203","volume":"17","author":"H-J Xue","year":"2017","unstructured":"Xue, H.-J., Dai, X., Zhang, J., Huang, S., Chen, J.: Deep matrix factorization models for recommender systems. IJCAI. 17, 3203\u20133209 (2017)","journal-title":"IJCAI"},{"key":"31_CR9","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1145\/2365952.2365972","volume-title":"Proceedings of the Sixth ACM Conference on Recommender Systems","author":"G Tak\u00e1cs","year":"2012","unstructured":"Tak\u00e1cs, G., Tikk, D.: Alternating least squares for personalized ranking. In: Proceedings of the Sixth ACM Conference on Recommender Systems, pp. 83\u201390 (2012)"},{"key":"31_CR10","first-page":"201","volume-title":"Computational Intelligence: Theories, Applications and Future Directions-Volume II: ICCI-2017","author":"S Susan","year":"2019","unstructured":"Susan, S., Ranjan, R., Taluja, U., Rai, S., Agarwal, P.: Neural net optimization by weight-entropy monitoring. In: Computational Intelligence: Theories, Applications and Future Directions-Volume II: ICCI-2017, pp. 201\u2013213. Springer Singapore (2019)"},{"key":"31_CR11","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1016\/j.heliyon.2018.e00938","volume":"4","author":"OI Abiodun","year":"2018","unstructured":"Abiodun, O.I., Jantan, A., Omolara, A.E., Dada, K.V., Mohamed, N.A.E., Arshad, H.: State-of-the-art in artificial neural network applications: a survey. Heliyon. 4, 11 (2018)","journal-title":"Heliyon"},{"key":"31_CR12","doi-asserted-by":"publisher","first-page":"116850","DOI":"10.1016\/j.eswa.2022.116850","volume":"200","author":"ZZ Darban","year":"2022","unstructured":"Darban, Z.Z., Valipour, M.H.: GHRS: graph-based hybrid recommendation system with application to movie recommendation. Expert Syst. Appl. 200, 116850 (2022)","journal-title":"Expert Syst. Appl."},{"key":"31_CR13","doi-asserted-by":"publisher","first-page":"317","DOI":"10.1007\/s11257-011-9115-7","volume":"22","author":"P Pu","year":"2012","unstructured":"Pu, P., Chen, L., Rong, H.: Evaluating recommender systems from the user\u2019s perspective: survey of the state of the art. User Model. User-Adap. Inter. 22, 317\u2013355 (2012)","journal-title":"User Model. User-Adap. Inter."},{"key":"31_CR14","first-page":"04008","volume-title":"ITM Web of Conferences","author":"B-B Cui","year":"2017","unstructured":"Cui, B.-B.: Design and implementation of movie recommendation system based on Knn collaborative filtering algorithm. In: ITM Web of Conferences, vol. 12, p. 04008. EDP Sciences (2017)"},{"key":"31_CR15","doi-asserted-by":"publisher","first-page":"285","DOI":"10.1145\/371920.372071","volume-title":"Proceedings of the 10th International Conference on World Wide Web","author":"B Sarwar","year":"2001","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)"},{"key":"31_CR16","doi-asserted-by":"publisher","first-page":"7958","DOI":"10.1109\/ACCESS.2019.2963316","volume":"8","author":"J Wang","year":"2019","unstructured":"Wang, J., Han, P.: Adversarial training-based mean Bayesian personalized ranking for recommender system. IEEE Access. 8, 7958\u20137968 (2019)","journal-title":"IEEE Access"},{"key":"31_CR17","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1145\/3383313.3412489","volume-title":"Proceedings of the 14th ACM Conference on Recommender Systems","author":"Z Sun","year":"2020","unstructured":"Sun, Z., Yu, D., Fang, H., Yang, J., Xinghua, Q., Zhang, J., Geng, C.: Are we evaluating rigorously? Benchmarking recommendation for reproducible evaluation and fair comparison. In: Proceedings of the 14th ACM Conference on Recommender Systems, pp. 23\u201332 (2020)"},{"key":"31_CR18","doi-asserted-by":"publisher","first-page":"121","DOI":"10.1145\/3503252.3531292","volume-title":"Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization","author":"VW Anelli","year":"2022","unstructured":"Anelli, V.W., Bellog\u00edn, A., Di Noia, T., Jannach, D., Pomo, C.: Top-n recommendation algorithms: a quest for the state-of-the-art. In: Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization, pp. 121\u2013131 (2022)"},{"key":"31_CR19","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1145\/1864708.1864721","volume-title":"Proceedings of the Fourth ACM Conference on Recommender Systems","author":"P Cremonesi","year":"2010","unstructured":"Cremonesi, P., Koren, Y., Turrin, R.: Performance of recommender algorithms on top-n recommendation tasks. In: Proceedings of the Fourth ACM Conference on Recommender Systems, pp. 39\u201346 (2010)"},{"key":"31_CR20","first-page":"35","volume":"8","author":"P Rao","year":"2021","unstructured":"Rao, P., Rao, T.V., Kurumalla, S., Prakash, B.: Matrix factorization based recommendation system using hybrid optimization technique. EAI Endorsed Trans. Energy Web. 8, 35 (2021)","journal-title":"EAI Endorsed Trans. Energy Web"},{"key":"31_CR21","doi-asserted-by":"publisher","first-page":"699","DOI":"10.1007\/978-981-15-7345-3_60","volume-title":"Inventive Communication and Computational Technologies: Proceedings of ICICCT 2020","author":"S Susan","year":"2021","unstructured":"Susan, S., Kumar, A., Jain, A.: Evaluating heterogeneous ensembles with boosting meta-learner. In: Inventive Communication and Computational Technologies: Proceedings of ICICCT 2020, pp. 699\u2013710. Springer Singapore (2021)"},{"key":"31_CR22","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1007\/978-981-16-1249-7_4","volume-title":"Soft Computing and Signal Processing: Proceedings of 3rd ICSCSP 2020, Volume 2","author":"A Jain","year":"2022","unstructured":"Jain, A., Kumar, A., Susan, S.: Evaluating deep neural network ensembles by majority voting cum meta-learning scheme. In: Soft Computing and Signal Processing: Proceedings of 3rd ICSCSP 2020, Volume 2, pp. 29\u201337. Springer Singapore (2022)"},{"key":"31_CR23","first-page":"319","volume-title":"International Conference on Artificial Intelligence and Data Engineering","author":"S Susan","year":"2019","unstructured":"Susan, S., Kumar, A.: DST-ML-EkNN: data space transformation with metric learning and elite k-nearest neighbor cluster formation for classification of imbalanced datasets. In: International Conference on Artificial Intelligence and Data Engineering, pp. 319\u2013328. Springer Nature Singapore, Singapore (2019)"}],"container-title":["Lecture Notes in Networks and Systems","Hybrid Intelligent Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-78925-0_31","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,8]],"date-time":"2025-09-08T00:51:43Z","timestamp":1757292703000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-78925-0_31"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031789243","9783031789250"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-78925-0_31","relation":{},"ISSN":["2367-3370","2367-3389"],"issn-type":[{"type":"print","value":"2367-3370"},{"type":"electronic","value":"2367-3389"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"27 July 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"HIS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Hybrid Intelligent Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Vilnius","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Lithuania","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 December 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 December 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"his2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.mirlabs.net\/his23\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}