{"id":27516,"date":"2020-07-06T05:59:57","date_gmt":"2020-07-06T05:59:57","guid":{"rendered":"https:\/\/www.inspirenignite.com\/anna-university\/information-retrieval-techniques-cc-8th-sem-syllabus-for-be-2017-regulation-anna-univ-professional-elective-v\/"},"modified":"2020-07-06T05:59:57","modified_gmt":"2020-07-06T05:59:57","slug":"information-retrieval-techniques-cc-8th-sem-syllabus-for-be-2017-regulation-anna-univ-professional-elective-v","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/anna-university\/information-retrieval-techniques-cc-8th-sem-syllabus-for-be-2017-regulation-anna-univ-professional-elective-v\/","title":{"rendered":"Information Retrieval Techniques C&amp;C 8th Sem Syllabus for BE 2017 Regulation Anna Univ (Professional Elective V)"},"content":{"rendered":"<p>Information Retrieval Techniques C&amp;C 8th Sem Syllabus for BE 2017 Regulation Anna Univ (Professional Elective V) detail syllabus for Computer &amp; Communication Engineering (C&amp;C), 2017 regulation is collected from the <a href=\"https:\/\/www.annauniv.edu\/\" target=\"_blank\" rel=\"noopener\">Anna Univ<\/a> official website and presented for students of Anna University. The details of the course are: course code (CS8080), Category (PE), Contact Periods\/week (3), Teaching hours\/week (3), Practical Hours\/week (0). The total course credits are given in combined syllabus.<\/p>\n<p>For all other c&amp;c 8th sem syllabus for be 2017 regulation anna univ you can visit <a href=\"..\/cc-8th-sem-syllabus-for-be-2017-regulation-anna-univ\">C&amp;C 8th Sem syllabus for BE 2017 regulation Anna Univ Subjects<\/a>. For all other Professional Elective V subjects do refer to <a href=\"..\/professional-elective-v-cc-8th-sem-syllabus-for-be-2017-regulation-anna-univ\">Professional Elective V<\/a>. The detail syllabus for information retrieval techniques is as follows.<\/p>\n<p><h4>Course Objective:<\/h4>\n<ul>\n<li>To understand the basics of Information Retrieval.<\/li>\n<li>To understand machine learning techniques for text classification and clustering.<\/li>\n<li>To understand various search engine system operations.<\/li>\n<li>To learn different techniques of recommender system.<\/li>\n<\/ul>\n<p><h4>Unit I<\/h4>\n<p>For complete syllabus and results, class timetable and more pls <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">download iStudy<\/a>. Its a light weight, easy to use, no images, no pdfs platform to make students life easier.<\/p>\n<p><h4>Unit II<\/h4>\n<p><strong>Modeling and Retrieval Evaluation<\/strong><br \/>\nBasic IR Models &#8211; Boolean Model &#8211; TF-IDF (Term Frequency\/Inverse Document Frequency) Weighting &#8211; Vector Model &#8211; Probabilistic Model &#8211; Latent Semantic Indexing Model &#8211; Neural Network Model &#8211; Retrieval Evaluation &#8211; Retrieval Metrics &#8211; Precision and Recall &#8211; Reference Collection -User-based Evaluation &#8211; Relevance Feedback and Query Expansion &#8211; Explicit Relevance Feedback.\n<\/p>\n<p><h4>Unit III<\/h4>\n<p><strong>Text Classification and Clustering<\/strong><br \/>\nA Characterization of Text Classification &#8211; Unsupervised Algorithms: Clustering &#8211; Naive Text Classification &#8211; Supervised Algorithms &#8211; Decision Tree &#8211; k-NN Classifier &#8211; SVM Classifier &#8211; Feature Selection or Dimensionality Reduction &#8211; Evaluation metrics &#8211; Accuracy and Error &#8211; Organizing the classes &#8211; Indexing and Searching &#8211; Inverted Indexes &#8211; Sequential Searching &#8211; Multi-dimensional Indexing.\n<\/p>\n<p><h4>Unit IV<\/h4>\n<p>For complete syllabus and results, class timetable and more pls <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">download iStudy<\/a>. Its a light weight, easy to use, no images, no pdfs platform to make students life easier.<\/p>\n<p><h4>Unit V<\/h4>\n<p><strong>Recommender System<\/strong><br \/>\nRecommender Systems Functions &#8211; Data and Knowledge Sources &#8211; Recommendation Techniques -Basics of Content-based Recommender Systems &#8211; High Level Architecture &#8211; Advantages and Drawbacks of Content-based Filtering &#8211; Collaborative Filtering &#8211; Matrix factorization models -Neighborhood models.\n<\/p>\n<p><h4>Course Outcome:<\/h4>\n<p>Upon completion of the course, the students will be able to:<\/p>\n<ul>\n<li>Use an open source search engine framework and explore its capabilities<\/li>\n<li>Apply appropriate method of classification or clustering.<\/li>\n<li>Design and implement innovative features in a search engine.<\/li>\n<li>Design and implement a recommender system.<\/li>\n<\/ul>\n<p><h4>Text Books:<\/h4>\n<ol>\n<li>Ricardo Baeza-Yates and Berthier Ribeiro-Neto, Modern Information Retrieval: The Concepts and Technology behind Search, Second Edition, ACM Press Books, 2011.<\/li>\n<li>Ricci, F, Rokach, L. Shapira, B.Kantor, Recommender Systems Handbook, First Edition, 2011.<\/li>\n<\/ol>\n<p><h4>References:<\/h4>\n<ol>\n<li>C. Manning, P. Raghavan, and H. Schutze, Introduction to Information Retrieval, Cambridge University Press, 2008.<\/li>\n<li>Stefan Buettcher, Charles L. A. Clarke and Gordon V. Cormack, Information Retrieval: Implementing and Evaluating Search Engines, The MIT Press, 2010.<\/li>\n<\/li>\n<\/ol>\n<p>For detail syllabus of all other subjects of BE C&amp;C, 2017 regulation do visit <a href=\"..\/category\/cc+8th-sem\">C&amp;C 8th Sem syllabus for 2017 Regulation<\/a>.<\/p>\n<p>Dont forget to <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">download iStudy<\/a> for latest syllabus and results, class timetable and more.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Information Retrieval Techniques C&amp;C 8th Sem Syllabus for BE 2017 Regulation Anna Univ (Professional Elective V) detail syllabus for Computer &amp; Communication Engineering (C&amp;C), 2017 regulation is collected from the [&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":[51,68],"tags":[],"class_list":["post-27516","post","type-post","status-publish","format-standard","hentry","category-8th-sem","category-cc"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts\/27516","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=27516"}],"version-history":[{"count":0,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts\/27516\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/media?parent=27516"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/categories?post=27516"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/tags?post=27516"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}