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{"slug": "harpribot--awesome-information-retrieval", "title": "Awesome Information Retrieval", "description": "A curated list of awesome information retrieval resources", "github_url": "https://github.com/harpribot/awesome-information-retrieval", "stars": "894", "tag": "Computer Science", "entry_count": 62, "subcategory_count": 1, "subcategories": [{"name": "Contributing", "parent": "", "entries": [{"name": "Books", "url": "#books", "description": ""}, {"name": "Courses", "url": "#courses", "description": ""}, {"name": "Software", "url": "#software", "description": ""}, {"name": "Datasets", "url": "#datasets", "description": ""}, {"name": "Talks", "url": "#talks", "description": ""}, {"name": "Conferences", "url": "#conferences", "description": ""}, {"name": "Blogs", "url": "#blogs", "description": ""}, {"name": "Introduction to Information Retrieval", "url": "http://www-nlp.stanford.edu/IR-book/", "description": "C.D. Manning, P. Raghavan, H. Schütze. Cambridge UP, 2008. (First book for getting started with Information Retrieval)."}, {"name": "Search Engines: Information Retrieval in Practice", "url": "http://ciir.cs.umass.edu/downloads/SEIRiP.pdf", "description": "Bruce Croft, Don Metzler, and Trevor Strohman. 2009. (Great book for readers interested in knowing how Search Engines work. The book is very detailed)."}, {"name": "Modern Information Retrieval", "url": "http://people.ischool.berkeley.edu/~hearst/irbook/", "description": "R. Baeza-Yates, B. Ribeiro-Neto. Addison-Wesley, 1999."}, {"name": "Information Retrieval in Practice", "url": "http://www.search-engines-book.com/", "description": "B. Croft, D. Metzler, T. Strohman. Pearson Education, 2009."}, {"name": "Mining the Web: Analysis of Hypertext and Semi Structured Data", "url": "http://www.cse.iitb.ac.in/%7Esoumen/mining-the-web/", "description": "S. Chakrabarti. Morgan Kaufmann, 2002."}, {"name": "Language Modeling for Information Retrieval", "url": "http://www.springer.com/prod/b/1-4020-1216-0?referer=www.wkap.nl", "description": "W\\.B. Croft, J. Lafferty. Springer, 2003. (Handles Language Modeling aspect of Information Retrieval. It also extensively details probabilistic perspective in this domain, which is interesting)."}, {"name": "Information Retrieval: A Survey", "url": "http://www.csee.umbc.edu/cadip/readings/IR.report.120600.book.pdf", "description": "Ed Greengrass, 2000. (Comprehensive survey of Conventional Information Retrieval, before Deep Learning era)."}, {"name": "Introduction to Modern Information Retrieval", "url": "https://www.amazon.com/Introduction-Modern-Information-Retrieval-Third/dp/185604694X", "description": "G.G. Chowdhury. Neal-Schuman, 2003. (Intended for students of library and information studies)."}, {"name": "Text Information Retrieval Systems", "url": "https://www.amazon.com/Information-Retrieval-Systems-Library-Hardcover/dp/0123694124", "description": "C.T. Meadow, B.R. Boyce, D.H. Kraft, C.L. Barry. Academic Press, 2007 (library/information science perspective)."}, {"name": "INF384H / CS395T / INF350E: Concepts of Information Retrieval (and Web Search)", "url": "http://courses.ischool.utexas.edu/Lease_Matt/2016/Fall/INF384H/", "description": "Matthew Lease (University of Texas at Austin)."}, {"name": "CS 276 / LING 286: Information Retrieval and Web Search", "url": "http://web.stanford.edu/class/cs276/", "description": "Chris Manning and Pandu Nayak (Stanford University)."}, {"name": "CS 371R: Information Retrieval and Web Search", "url": "https://www.cs.utexas.edu/~mooney/ir-course/", "description": "Raymond J. Mooney (University of Texas at Austin)."}, {"name": "CS 172: Introduction to Information Retrieval", "url": "http://www.cs.ucr.edu/~vagelis/classes/CS172/", "description": "Vagelis Hristidis (University of California - Riverside)."}, {"name": "SIMS 240: Principles of Information Retrieval", "url": "http://www2.sims.berkeley.edu/academics/courses/is240/s06/", "description": "Ray R. Larson (UC berkeley)."}, {"name": "11-442 / 11-642: Search Engines", "url": "http://boston.lti.cs.cmu.edu/classes/11-642/", "description": "Jamie Callan (CMU)."}, {"name": "600.466: Information Retrieval and Web Agents", "url": "http://www.cs.jhu.edu/%7Eyarowsky/cs466.html", "description": "David Yarowsky (John Hopkins University)."}, {"name": "CS 435: Information Retrieval, Discovery, and Delivery", "url": "http://www.cs.princeton.edu/courses/archive/spring06/cos435/", "description": "Andrea LaPaugh (Princeton University)."}, {"name": "Information Retrieval and Data Mining", "url": "https://www.mpi-inf.mpg.de/departments/databases-and-information-systems/teaching/winter-semester-201516/information-retrieval-and-data-mining/", "description": "Dr. Jilles Vreeken , Prof. Dr. Gerhard Weikum (MPI)."}, {"name": "Coursera - Text Retrieval and Search Engines", "url": "https://www.coursera.org/learn/text-retrieval", "description": "Prof. ChengXiang Zhai (University of Illinois at Urbana-Champaign)."}, {"name": "Apache Lucene", "url": "http://lucene.apache.org/core/", "description": "Open Source Search Engine that can be used to test Information Retrieval Algorithm. Twitter uses this core for its real-time search."}, {"name": "The Lemur Project", "url": "http://www.lemurproject.org", "description": "The Lemur Project develops search engines, browser toolbars, text analysis tools, and data resources that support research and development of information retrieval and text mining software."}, {"name": "DBPedia", "url": "http://wiki.dbpedia.org/Downloads2015-10", "description": "Linked data web."}, {"name": "Cranfield Collections", "url": "http://ir.dcs.gla.ac.uk/resources/test_collections/cran/", "description": "This is one of the first collections in IR domain, however the dataset is too small for any statistical significance analysis, but is nevertheless suitable for pilot runs."}, {"name": "TREC Collections", "url": "http://trec.nist.gov/data.html", "description": "TREC is the benchmark dataset used by most IR and Web search algorithms. It has several tracks, each of which consists of dataset to test for a specific task. The tracks along with suggested use-case are:"}, {"name": "GOV2 Test Collection", "url": "http://ir.dcs.gla.ac.uk/test_collections/gov2-summary.htm", "description": "This is one of the largest Web collection of documents obtained from crawl of government websites by Charlie Clarke and Ian Soboroff, using NIST hardware and network, then formatted by Nick Craswel."}, {"name": "NTCIR Test Collection", "url": "http://research.nii.ac.jp/ntcir/data/data-en.html", "description": "This is collection of wide variety of dataset ranging from Ad-hoc collection, Chinese IR collection, mobile clickthrough collections to medical collections. The focus of this collection is mostly on east asian languages and cross language information retrieval."}, {"name": "Conference and Labs of the Evaluation Forum (CLEF) dataset", "url": "http://www.clef-initiative.eu/dataset/test-collection", "description": "It contains a multi-lingual document collection. The test suite includes:"}, {"name": "Reuters Corpora", "url": "http://trec.nist.gov/data/reuters/reuters.html", "description": "The corpora is now available through NIST. The corpora includes following:"}, {"name": "20 Newsgroup dataset", "url": "https://kdd.ics.uci.edu/databases/20newsgroups/20newsgroups.html", "description": "This data set consists of 20000 newsgroup messages.posts taken from 20 newsgroup topics."}, {"name": "English Gigaword Fifth Edition", "url": "https://catalog.ldc.upenn.edu/LDC2011T07", "description": "This data set is a comprehensive archive of English newswire text data including headlines, datelines and articles."}, {"name": "Document Understanding Conference (DUC) datasets", "url": "http://www-nlpir.nist.gov/projects/duc/data.html", "description": "Past newswire/paper datasets (DUC 2001 - DUC 2007) are available upon request."}, {"name": "CMU List", "url": "http://boston.lti.cs.cmu.edu/callan/Data/#DIR", "description": ""}, {"name": "Stanford List", "url": "http://nlp.stanford.edu/IR-book/html/htmledition/standard-test-collections-1.html", "description": ""}, {"name": "University of Tennesse Knoxville", "url": "http://web.eecs.utk.edu/research/lsi/corpa.html", "description": ""}, {"name": "Extreme Classification: A New Paradigm for Ranking & Recommendation", "url": "https://youtu.be/1X71fTx1LKA", "description": "Manik Verma (Microsoft Research)"}, {"name": "The next web", "url": "https://www.ted.com/talks/tim_berners_lee_on_the_next_web", "description": "Tim Berners-Lee (Ted Talk) \\[Tim Berners-Lee invented the World Wide Web. He leads the World Wide Web Consortium (W3C), overseeing the Web's standards and development]."}, {"name": "Is Pivot a turning point for web exploration?", "url": "https://www.ted.com/talks/gary_flake_is_pivot_a_turning_point_for_web_exploration?utm_source=tedcomshare\\&utm_medium=referral\\&utm_campaign=tedspread", "description": "Gary Flake, Technical Fellow at Microsoft (TED Talks)."}, {"name": "Challenges in Building Large-Scale Information Retrieval Systems", "url": "http://videolectures.net/wsdm09_dean_cblirs/", "description": "Jeff Dean (WSDM Conference, 2009)."}, {"name": "Knowledge-based Information Retrieval with Wikipedia", "url": "https://youtu.be/NFCZuzA4cFc", "description": "David Wilne (The University of Waikato, 2008)."}, {"name": "Music Information Retrieval Using Locality Sensitive Hashing", "url": "https://www.youtube.com/watch?v=SghMq1xBJPI\\&list=PLdktw5AjQqP2gpQNgHRJaSgEkHiaVLfTi\\&index=24", "description": "Steve Tjoa (RackSpace Developers) \\[This talk shows that IR is not just text and images]."}, {"name": "The Functional Web -- The Future of Apps and the Web", "url": "https://youtu.be/u6oqr3gMyxk", "description": "Liron Shapira (Box Tech Talk)."}, {"name": "Information Experience - Solution to Information Overload on Web", "url": "https://youtu.be/EnvtsbCfiAI", "description": "Doug Imbruce (Techcrunch Disrupt)\\[Doug Imbruce is the Founder of Qwiki, Inc, a technology startup in New York, NY, acquired by Yahoo! in 2013]."}, {"name": "Internet Privacy", "url": "https://youtu.be/tnsyhKHalGs", "description": "Dr. Alma Whitten (Google Brussels Tech Talk)."}, {"name": "The moral bias behind your search results", "url": "https://www.ted.com/talks/andreas_ekstrom_the_moral_bias_behind_your_search_results", "description": "Andreas Ekström (Swedish Author & Journalist, TED Talk)."}, {"name": "Beware online \"filter bubbles\"", "url": "https://www.ted.com/talks/eli_pariser_beware_online_filter_bubbles?language=en", "description": "Eli Pariser (Author of the Filter Bubble, TED Talk)."}, {"name": "Think your email's private? Think again", "url": "https://www.ted.com/talks/andy_yen_think_your_email_s_private_think_again", "description": "Andy Yen (CERN, TED Talk) \\[This talk talks about privacy, which Search Engines intrude into, and how can people protect it]."}, {"name": "Do we have the right to be forgotten?", "url": "https://youtu.be/YO0lbdhF30g", "description": "Michael Douglas \\[TEDx SouthBank]."}, {"name": "The case for anonymity online", "url": "https://www.ted.com/talks/christopher_m00t_poole_the_case_for_anonymity_online?utm_source=tedcomshare\\&utm_medium=referral\\&utm_campaign=tedspread", "description": "Christopher \"moot\" Poole\" (Ted Talks) \\[Christopher \"moot\" Poole is founder of 4chan, an online imageboard whose anonymous denizens have spawned the web's most bewildering and influential subculture]."}, {"name": "Information Retrieval and the Web", "url": "http://research.google.com/pubs/InformationRetrievalandtheWeb.html", "description": "Google Research."}, {"name": "IR Thoughts", "url": "https://irthoughts.wordpress.com", "description": "Dr. Edel Garcia."}, {"name": "Deep Neural Network Learns to Judge Books by Their Covers", "url": "https://www.technologyreview.com/s/602807/deep-neural-network-learns-to-judge-books-by-their-covers/?utm_campaign=socialflow\\&utm_source=facebook\\&utm_medium=post", "description": "Information Extraction."}, {"name": "Can Deep Learning help solve Deep Learning", "url": "http://www.theverge.com/2016/11/7/13551210/ai-deep-learning-lip-reading-accuracy-oxford", "description": "Information Retrieval from Lip Reading."}, {"name": "To reduce biases in machine learning start with openly discussing the problem", "url": "https://enterprisersproject.com/article/2016/9/reduce-biases-machine-learning-start-openly-discussing-problem?sc_cid=70160000000q8YTAAY", "description": "Bias in Relevance."}, {"name": "Whoa, Google’s AI Is Really Good at Pictionary", "url": "https://www.wired.com/2016/11/woah-googles-ai-really-good-pictionary/", "description": "Sketch-based search."}, {"name": "Neural Network Learns to Identify Criminals by Their Faces", "url": "https://www.technologyreview.com/s/602955/neural-network-learns-to-identify-criminals-by-their-faces/?utm_campaign=socialflow\\&utm_source=facebook\\&utm_medium=post", "description": "Information Extraction."}]}]} |