{"id":18726,"date":"2020-09-11T15:13:12","date_gmt":"2020-09-11T15:13:12","guid":{"rendered":"https:\/\/www.inspirenignite.com\/mh\/it802se-03-information-retrieval-syllabus-for-it-8th-sem-2020-21-dbatu-elective-xi\/"},"modified":"2020-09-11T15:13:12","modified_gmt":"2020-09-11T15:13:12","slug":"it802se-03-information-retrieval-syllabus-for-it-8th-sem-2020-21-dbatu-elective-xi","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/mh\/it802se-03-information-retrieval-syllabus-for-it-8th-sem-2020-21-dbatu-elective-xi\/","title":{"rendered":"IT802SE-03: Information Retrieval Syllabus for IT 8th Sem 2020-21 DBATU (Elective-XI)"},"content":{"rendered":"

Information Retrieval detailed syllabus scheme for Information Technology (IT), 2020-21 onwards has been taken from the DBATU<\/a> official website and presented for the Bachelor of Technology students. For Subject Code, Course Title, Lecutres, Tutorials, Practice, Credits, and other information, do visit full semester subjects post given below. <\/p>\n

For 8th Sem Scheme of Information Technology (IT), 2020-21 Onwards, do visit IT 8th Sem Scheme, 2020-21 Onwards<\/a>. For the Elective-XI scheme of 8th Sem 2020-21 onwards, refer to IT 8th Sem Elective-XI Scheme 2020-21 Onwards<\/a>. The detail syllabus for information retrieval is as follows.<\/p>\n

Information Retrieval Syllabus for Information Technology (IT) 4th Year 8th Sem 2020-21 DBATU<\/h2>\n

Information Retrieval<\/title><\/p>\n<h4>Course Objectives:<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete syllabus, results, class timetable, and many other features kindly download the <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">iStudy App<\/a><br \/><b> It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.<\/b><br \/><a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&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\"><\/a>. <\/p>\n<h4>Course Outcomes:<\/h4>\n<p> After learning the course the students should be able:<\/p>\n<ol>\n<li>To apply information retrieval principles to locate relevant information in large collections of data<\/li>\n<li>To understand and deploy efficient techniques for the indexing of document objects that are to be retrieved<\/li>\n<li>To implement features of retrieval systems for web-based and other search tasks<\/li>\n<li>To analyze the performance of retrieval systems using test collections<\/li>\n<li>To make practical recommendations about deploying information retrieval systems in different search domains, including considerations for document management and querying<\/li>\n<\/ol>\n<h4>Unit I<\/h4>\n<p> introduction to the course: information retrieval problem, first take at building an inverted index, processing of Boolean queries, extended Boolean model vs. ranked retrieval. Term vocabulary and postings lists: document delineation and character sequence decoding, determining vocabulary of terms, Faster postings list intersection via skip pointers, positional postings and phrase queries.<\/p>\n<h4>Unit II<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete syllabus, results, class timetable, and many other features kindly download the <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">iStudy App<\/a><br \/><b> It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.<\/b><br \/><a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&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\"><\/a>. <\/p>\n<h4>Unit III<\/h4>\n<p> Scoring and IR System Evaluation: parametric and zone indexes, term frequency and weighing, vector space model for scoring, variant tf-idf functions, efficient scoring and ranking, components of an IR system, vector space scoring and query operator interaction; IR system evaluation, Standard test collections, evaluation of unranked and ranked retrieval results, Assessing relevance, System quality and user utility; Relevance feedback and pseudo relevance feedback, Global methods for query reformulation.<\/p>\n<h4>Unit IV<\/h4>\n<p> XML and Probabilistic Information Retrieval: Basic concepts of XML retrieval and challenges, vector space model for XML retrieval, Text-centric vs. data centric XML retrieval; probability ranking principal, binary independence model, appraisal and some extensions; Language models for information retrieval, query likelihood model, language modeling vs. other approaches in IR.<\/p>\n<h4>Unit V<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete syllabus, results, class timetable, and many other features kindly download the <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">iStudy App<\/a><br \/><b> It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.<\/b><br \/><a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&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\"><\/a>. <\/p>\n<h4>Unit VI<\/h4>\n<p> Document Clustering and Matrix Decomposition: Flat clustering, cardinality, evaluation of clustering, K-means, Model based clustering; Hierarchical Agglomerative clustering, singlelink and complete-link clustering, Group-average agglomerative clustering, Centroid clustering, Optimality of HAC, Divisive clustering, Cluster labeling; Matrix decompositions, Term document matrices and singular value decomposition, Low-rank approximations, Latent semantic indexing. Web Search: basics concepts, web graph, spam, search user experience, Index size and estimation, Nearduplicates and shingling; Web crawling and indexes: overview, crawler architecture, DNS resolution, URL frontier, Distributing indexes and connectivity servers; Link analysis: Anchor text and web graph, Page Rank, Hubs and Authorities.<\/p>\n<h4>Text Books:<\/h4>\n<ol>\n<li>Manning, C. D., Raghavan, P., and Schutze, H. “Introduction to Information Retrieval”. Cambridge University Press. 2008<\/li>\n<li>Witten, I. H., Moffat, A., and Bell, T. C. “Managing Gigabytes: Compressing and Indexing Documents and Images.”, Morgan Kaufmann. 1999<\/li>\n<li>Grossman, D. A., “Information Retrieval: Algorithms and Heuristics”, Springer. 2004<\/li>\n<\/ol>\n<h4>Reference Book:<\/h4>\n<ol>\n<li>Baeza-Yates, R., and Ribeiro-Neto, B. “Modern information Retrieval”, New York: ACM press. 1999<\/li>\n<li>Belew, R. K. “Finding Out About: A Cognitive Perspective on Search Engine Technology and the WWW”, Cambridge University Press. 2000<\/li>\n<li>Chakrabarti, S. “Mining the Web: Discovering Knowledge from Hypertext Data”, Morgan Kaufmann. 2003<\/li>\n<li>Manning, C. D. “Foundations of Statistical Natural Language Processing”, H. Schutze (Ed.) MIT press. 1999<\/li>\n<\/ol>\n<p align=\"justify\">For detail syllabus of all subjects of Information Technology (IT) 8th Sem 2020-21 onwards, visit <a href=\"..\/category\/dbatu\/8th-sem-dbatu\">IT 8th Sem Subjects <\/a>of 2020-21 Onwards.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Information Retrieval detailed syllabus scheme for Information Technology (IT), 2020-21 onwards has been taken from the DBATU official website and presented for the Bachelor of Technology students. For Subject Code, […]<\/p>\n","protected":false},"author":2351,"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":[109],"tags":[],"class_list":["post-18726","post","type-post","status-publish","format-standard","hentry","category-it-dbatu"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/posts\/18726","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/users\/2351"}],"replies":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/comments?post=18726"}],"version-history":[{"count":0,"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/posts\/18726\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/media?parent=18726"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/categories?post=18726"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/tags?post=18726"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}