PPT-Classification CS5604 Information Storage and Retrieval - Fall 2016

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Virginia Polytechnic Institute and State University Blacksburg Virginia 24061 Professor E Fox Presenters Saurabh Chakravarty Eric Williamson December 1 2016 Table

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Classification CS5604 Information Storage and Retrieval - Fall 2016: Transcript

Virginia Polytechnic Institute and State University Blacksburg Virginia 24061 Professor E Fox Presenters Saurabh Chakravarty Eric Williamson December 1 2016 Table of contents Problem Definition. CSC 575. Intelligent Information Retrieval. Intelligent Information Retrieval. 2. Retrieval Models. Model is an idealization or abstraction of an actual process. in this case, process is matching of documents with queries, i.e., retrieval. INST 734. Module 3. Doug . Oard. Agenda. Ranked retrieval. Similarity-based ranking. Probability-based ranking. Boolean Retrieval. Strong points. Accurate, . if you know the right strategies. Efficient for the computer. Date :. . 2012 . / . 04. . / . 12. 資訊碩一 . 10077034. 蔡勇儀 . @. . LAB603 . Outline. Introduction. Preliminaries. Method. Experimental result. Conclusions. Introduction. Image retrieval have more challenge than text retrieval.. INST 734. Doug . Oard. Module 13. Agenda. Image retrieval. Video retrieval. Multimedia retrieval. Multimedia. A set of time-synchronized modalities. Video. Images, object motion, camera motion, scenes. Information. Miles Efron, Jana . Diesner. , Peter . Organisciak. , Garrick Sherman, Ana . Lucic. {. mefron. , et al.}@. illinois.edu. GSLIS 2012. TREC: The Text REtrieval Conference. NIST. Web. Legal. Group 3. Chad Mills. Esad Suskic. Wee Teck Tan. Outline. System and Data. Document Retrieval. Passage Retrieval. Results. Conclusion. System and Data. Development. Testing. TREC 2004. TREC 2004. TREC 2005. Cristiano Chesi . NETS. , IUSS Center . for . Ne. urocognition and . T. heoretical . S. yntax - Pavia. IGG 40. Università di Trento. Outline. Complexity in Object(-headed) Relative Clauses (ORs). Memory-load accounts. Forgetting is useful. We are poor judges of how well we are learning. More assessment is the key to successful learning. “Learning is a change in long-term memory.”. Paul Kirschner. Retrieval and Storage. Information Retrieval. Information Retrieval. Konsep. . dasar. . dari. IR . adalah. . pengukuran. . kesamaan. sebuah. . perbandingan. . antara. . dua. . dokumen. , . mengukur. . sebearapa. . David Haynes. City University London. Metadata for Information Management and Retrieval. Description. Retrieval. Management. Rights and ownership. Interoperability and . e-commerce. Five Purposes of Metadata. BY. DR. ADNAN ABID. Lecture # . Introduction. Library Management System. Structured Data Storage / Tables. Semi-Structured and Unstructured . Employee Department Salary. Library Digitization. Information Retrieval Models. Class Activity. Action: . Write. down the . 4 or 5 points. that most impact you from this presentation.. You will need this for the group activity at the end of this presentation.. Key to Learning. What is IR?. Sit down before fact as a little child, . be prepared to give up every conceived notion, . follow humbly wherever and whatever abysses nature leads, . or you will learn nothing. . . -- Thomas Huxley --. 9/10/2014. Nihat. . Altiparmak. and Ali . Saman. . Tosun. Mascots 2014. Background. Big Data, Storage Arrays, Distributed and Heterogeneous Storage Architectures. Replicated . Declustering. and Retrieval.

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