{"id":53554,"date":"2023-04-08T06:03:09","date_gmt":"2023-04-08T06:03:09","guid":{"rendered":"https:\/\/www.inspirenignite.com\/anna-university\/ccs360-recommender-systems-syllabus-for-it-2021-regulation-professional-elective-i\/"},"modified":"2023-04-08T06:03:09","modified_gmt":"2023-04-08T06:03:09","slug":"ccs360-recommender-systems-syllabus-for-it-2021-regulation-professional-elective-i","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/anna-university\/ccs360-recommender-systems-syllabus-for-it-2021-regulation-professional-elective-i\/","title":{"rendered":"CCS360: Recommender Systems syllabus for IT 2021 regulation (Professional Elective-I)"},"content":{"rendered":"<p align=\"justify\">Recommender Systems detailed syllabus for Information Technology (IT) for 2021 regulation curriculum has been taken from the <a class=\"rank-math-link\" href=\"https:\/\/cac.annauniv.edu\/\" style=\"color: inherit\" target=\"_blank\" rel=\"noopener\">Anna Universities<\/a> official website and presented for the IT students. For course code, course name, number of credits for a course and other scheme related information,  do visit full semester subjects post given below. <\/p>\n<p align=\"justify\">For Information Technology 5th Sem scheme and its subjects, do visit <a class=\"rank-math-link\" href=\"..\/it-5th-sem-syllabus-2021-regulation\">IT 5th Sem 2021 regulation scheme<\/a>. For Professional Elective-I scheme and its subjects refer to <a class=\"rank-math-link\" href=\"..\/professional-elective-i-syllabus-for-it-2021-regulation\">IT Professional Elective-I syllabus scheme<\/a>. The detailed syllabus of recommender systems is as follows. <\/p>\n<p>  <title>Recommender Systems<\/title><\/p>\n<h4>Course Objectives:<\/h4>\n<h4 id=\"istudy\" style=\"text-align:center\"><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" style=\"color: inherit\" target=\"_blank\" rel=\"noopener\">Download the iStudy App for all syllabus and other updates.<\/a><br \/><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&amp;pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px;text-align:center\"><\/a><\/h4>\n<h4>Unit I<\/h4>\n<p>  <strong>INTRODUCTION 6<\/strong> Introduction and basic taxonomy of recommender systems &#8211; Traditional and non-personalized Recommender Systems &#8211; Overview of data mining methods for recommender systems- similarity measures- Dimensionality reduction &#8211; Singular Value Decomposition (SVD)<\/p>\n<p><i>Suggested Activities:<\/i>\n  <\/p>\n<ul>\n<li>Practical learning &#8211; Implement Data similarity measures.<\/li>\n<li>External Learning &#8211; Singular Value Decomposition (SVD) applications<\/li>\n<\/ul>\n<p><i>Suggested Evaluation Methods:<\/i>\n  <\/p>\n<ul>\n<li>Quiz on Recommender systems.<\/li>\n<li>Quiz of python tools available for implementing Recommender systems<\/li>\n<\/ul>\n<p>  Unit II <strong>CONTENT-BASED RECOMMENDATION SYSTEMS 6<\/strong> High-level architecture of content-based systems &#8211; Item profiles, Representing item profiles, Methods for learning user profiles, Similarity-based retrieval, and Classification algorithms.<\/p>\n<p><i>Suggested Activities:<\/i>\n  <\/p>\n<ul>\n<li>Assignment on content-based recommendation systems<\/li>\n<li>Assignment of learning user profiles<\/li>\n<\/ul>\n<p><i>Suggested Evaluation Methods:<\/i>\n  <\/p>\n<ul>\n<li>Quiz on similarity-based retrieval.<\/li>\n<li>Quiz of content-based filtering<\/li>\n<\/ul>\n<h4>Unit III<\/h4>\n<h4 id=\"istudy\" style=\"text-align:center\"><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" style=\"color: inherit\" target=\"_blank\" rel=\"noopener\">Download the iStudy App for all syllabus and other updates.<\/a><br \/><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&amp;pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px;text-align:center\"><\/a><\/h4>\n<h4>Unit IV<\/h4>\n<p>  <strong>ATTACK-RESISTANT RECOMMENDER SYSTEMS 6<\/strong> Introduction &#8211; Types of Attacks &#8211; Detecting attacks on recommender systems &#8211; Individual attack -Group attack &#8211; Strategies for robust recommender design &#8211; Robust recommendation algorithms.<\/p>\n<p><i>Suggested Activities:<\/i>\n  <\/p>\n<ul>\n<li>Group Discussion on attacks and their mitigation<\/li>\n<li>Study of the impact of group attacks<\/li>\n<li>External Learning &#8211; Use of CAPTCHAs<\/li>\n<\/ul>\n<p><i>Suggested Evaluation Methods:<\/i>\n  <\/p>\n<ul>\n<li>Quiz on attacks on recommender systems<\/li>\n<li>Seminar on preventing attacks using the CAPTCHAs<\/li>\n<\/ul>\n<h4>Unit V<\/h4>\n<h4 id=\"istudy\" style=\"text-align:center\"><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" style=\"color: inherit\" target=\"_blank\" rel=\"noopener\">Download the iStudy App for all syllabus and other updates.<\/a><br \/><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&amp;pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px;text-align:center\"><\/a><\/h4>\n<h4>Practical Exercises<\/h4>\n<ol>\n<li>Implement Data similarity measures using Python<\/li>\n<li>Implement dimension reduction techniques for recommender systems<\/li>\n<li>Implement user profile learning<\/li>\n<li>Implement content-based recommendation systems<\/li>\n<li>Implement collaborative filter techniques<\/li>\n<li>Create an attack for tampering with recommender systems<\/li>\n<li>Implement accuracy metrics like Receiver Operated Characteristic curves<\/li>\n<\/ol>\n<h4>Course Outcomes:<\/h4>\n<h4 id=\"istudy\" style=\"text-align:center\"><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" style=\"color: inherit\" target=\"_blank\" rel=\"noopener\">Download the iStudy App for all syllabus and other updates.<\/a><br \/><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&amp;pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px;text-align:center\"><\/a><\/h4>\n<h4>Text Books:<\/h4>\n<ol>\n<li>Charu C. Aggarwal, Recommender Systems: The Textbook, Springer, 2016.<\/li>\n<li>Dietmar Jannach , Markus Zanker , Alexander Felfernig and Gerhard Friedrich , Recommender Systems: An Introduction, Cambridge University Press (2011), 1st ed.<\/li>\n<li>Francesco Ricci , Lior Rokach , Bracha Shapira , Recommender Sytems Handbook, 1st ed, Springer (2011),<\/li>\n<li>Jure Leskovec, Anand Rajaraman, Jeffrey David Ullman, Mining of massive datasets, 3rd edition, Cambridge University Press, 2020.<\/li>\n<\/ol>\n<p align=\"justify\">For detailed syllabus of all the other subjects of Information Technology 5th Sem, visit <a class=\"rank-math-link\" href=\"..\/category\/it+5th-sem\">IT 5th Sem subject syllabuses for 2021 regulation<\/a>. <\/p>\n<p align=\"justify\">For all Information Technology results, visit <a class=\"rank-math-link\" href=\"https:\/\/www.inspirenignite.com\/anna-university\/anna-university-results\/\">Anna University IT all semester results<\/a> direct link. <\/p>\n","protected":false},"excerpt":{"rendered":"<p>Recommender Systems detailed syllabus for Information Technology (IT) for 2021 regulation curriculum has been taken from the Anna Universities official website and presented for the IT students. For course code, [&hellip;]<\/p>\n","protected":false},"author":2297,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"footnotes":""},"categories":[72],"tags":[],"class_list":["post-53554","post","type-post","status-publish","format-standard","hentry","category-it"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts\/53554","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/users\/2297"}],"replies":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/comments?post=53554"}],"version-history":[{"count":0,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts\/53554\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/media?parent=53554"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/categories?post=53554"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/tags?post=53554"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}