<?xml version="1.0" encoding="UTF-8"?>
<doi_batch version="4.3.0" xmlns="http://www.crossref.org/doi_resources_schema/4.3.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.crossref.org/doi_resources_schema/4.3.0 http://www.crossref.org/schema/deposit/doi_resources4.3.0.xsd">
<head>
<doi_batch_id>1bf921a7-6d7e-4418-ad01-9376cfae8624</doi_batch_id>
<depositor>
<name>beie</name>
<email_address>director@blueeyesintelligence.org</email_address>
</depositor>
</head>
<body>
<doi_citations>
<doi>10.35940/ijitee.H9126.0711822</doi>
<citation_list><citation key="ref0"><doi>10.1109/SAPIENCE.2016.7684166</doi><unstructured_citation>P. Mathew, B. Kuriakose and V. Hegde, &quot;Book Recommendation System through content based and collaborative filtering method,&quot; 2016 International Conference on Data Mining and Advanced Computing (SAPIENCE), 2016, pp. 47-52, doi: 10.1109/SAPIENCE.2016.7684166 [CrossRef]</unstructured_citation></citation><citation key="ref1"><doi>10.1007/978-3-319-29659-3_2</doi><unstructured_citation>Aggarwal, C.C. (2016). Neighborhood-Based Collaborative Filtering. In: Recommender Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-29659-3_2 [CrossRef]</unstructured_citation></citation><citation key="ref2"><unstructured_citation>Naresh E, Geetha LM, Vijaya Kumar BP; &quot;Recommendation system and its approaches- A survey&quot;; International Journal of Scientific &amp; Engineering Research, Volume 7, Issue 5, May-2016</unstructured_citation></citation><citation key="ref3"><doi>10.1016/j.eij.2015.06.005</doi><unstructured_citation>F.O. Isinkaye, Y.O. Folajimi, B.A. Ojokoh; &quot;Recommendation systems: Principles, methods and evaluation&quot;; Egyptian Informatics Journal (2015) 16, 261-273 [CrossRef]</unstructured_citation></citation><citation key="ref4"><unstructured_citation>A. T¨oscher và M.Jahrer ,Collaborative Filtering Applied toEducational Data Mining , in Proceedings of the KDD Cup2010 Workshop on Improving CognitiveModels with Educational Data Mining,Washington, DC, USA, 2010</unstructured_citation></citation><citation key="ref5"><doi>10.1016/j.procs.2010.08.006</doi><unstructured_citation>N. Thai-Nghe, L. Drumond, A. Krohn-Grimberghe, and L. Schmidt-Thieme,&quot;Recommender system for predictingstudent performance,&quot; in Proceedings ofthe ACM RecSys 2010 Workshop onRecommender Systems for TechnologyEnhanced Learning (RecSysTEL 2010),vol. 1. Elsevier's ProcediaComputerScience, 2010, pp. 2811 - 2819 [CrossRef]</unstructured_citation></citation><citation key="ref6"><doi>10.1145/312624.312682</doi><unstructured_citation>L. Herlocker, J. A. Konstan, et al., AnAlgorithmic Framework for PerformingCollaborative Filtering, Proceedings of the22nd Annual International ACM SIGIR Conference, ACM Press, 1999, pp. 230-237 [CrossRef]</unstructured_citation></citation><citation key="ref7"><doi>10.1145/223904.223931</doi><unstructured_citation>U. Shardanand and P. Maes, &quot;Socialinformation filtering: algorithms forautomating 'word of mouth&quot; inProceeding of the SIGCHI Conference onHuman Factors in Computing Systems, ser.CHI '95. New York, NY, USA: ACMPress/Addison-Wesley Publishing Co.,1995, pp. 210-217 [CrossRef]</unstructured_citation></citation><citation key="ref8"><unstructured_citation>https://grouplens.org/datasets/movielens/100k/</unstructured_citation></citation></citation_list>
</doi_citations>
</body>
</doi_batch>
