'Relevant document' diaporamas de présentation

Information Retrieval and Search Engines

Information Retrieval and Search Engines. Lecture 7: Probabilistic Information Retrieval and Language Models Prof . Michael R. Lyu. Motivation of This Lecture. Given an information need and a collection of documents , a system must determine how well the documents satisfy the query

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Statistical Models for Information Retrieval and Text Mining

Statistical Models for Information Retrieval and Text Mining. ChengXiang Zhai (???) Department of Computer Science Graduate School of Library & Information Science Institute for Genomic Biology, Statistics University of Illinois, Urbana-Champaign

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Lecture 10: Inference and Belief Networks

Prof. Ray Larson University of California, Berkeley School of Information Tuesday and Thursday 10:30 am - 12:00 pm Spring 2007 http://courses.ischool.berkeley.edu/i240/s07. Lecture 10: Inference and Belief Networks. Principles of Information Retrieval. Today.

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?????? : ???? Overview of Text Retrieval: Part 1

?????? : ???? Overview of Text Retrieval: Part 1. ChengXiang Zhai (???) Department of Computer Science Graduate School of Library & Information Science Institute for Genomic Biology, Statistics University of Illinois, Urbana-Champaign

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Evaluation

Evaluation. LBSC 796/INFM 718R Session 5, October 7, 2007 Douglas W. Oard. Agenda. Questions Evaluation fundamentals System-centered strategies User-centered strategies. IR as an Empirical Discipline. Formulate a research question: the hypothesis

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CSCI 5417 Information Retrieval Systems Jim Martin

CSCI 5417 Information Retrieval Systems Jim Martin. Lecture 8 9/15/2011. Today 9/15. Finish evaluation discussion Query improvement Relevance feedback Pseudo-relevance feedback Query expansion. Evaluation. Summary measures Precision at fixed retrieval level

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Information Retrieval Evaluation

Information Retrieval Evaluation. http://net.pku.edu.cn/~wbia ??? hle @net.pku.edu.cn ?????????? 1 0 / 29 /201 3. IR Evaluation Methodology. Measures for a search engine. ?? index ??? Number of documents/hour Documents size ????? ????? Latency as a function of index size

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Welcome to the University of Florida Online Employment System Applicant Tutorial

Welcome to the University of Florida Online Employment System Applicant Tutorial. Online Employment System Training for University of Florida Applicants. This presentation will take approximately 20 minutes. Click on your mouse to go to the next slide

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Indexing and Representation: The Vector Space Model

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Assessing The Retrieval

Assessing The Retrieval. A.I Lab 2007.01.20 ???. Contents. 4.1 Personal Assessment of Relevance 4.2 Extending the Dialog with RelFbk 4.3 Aggregated Assessment : Search Engine Performance 4.4 RAVE : A Relevance Assessment Vehicle 4.5 Summary. 4.1 Personal Assessment of Relevance.

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Ch 9 Relevance feedback and Query expansion

Ch 9 Relevance feedback and Query expansion. 2009. 11. 30. ???. Overview. ??? - ?? concept ? ?? ??? ??? ? ?? ??? ???? ?????? recall ? ??? ??? ex> plane vs aircraft ????? ????? ??? ???? ?? ?? ???? ?????? query refinement ? ???? ??? ????. Overview. Global method :

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Surveys of Some Critical Issues in Chinese Indexing

Surveys of Some Critical Issues in Chinese Indexing. Chinese Document Indexing and Word Segmentation. Speaker : Reuy-Lung, Hsiao Date : Wed, Dec, 22. Roadmap. An overview of Web Information Retrieval systems architecture Automatic indexing overview Questions of Chinese document indexing

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Using Pertainyms to Improve Passage Retrieval for Questions Requesting Information About a Location

Using Pertainyms to Improve Passage Retrieval for Questions Requesting Information About a Location. Mark A. Greenwood Natural Language Processing Group Department of Computer Science University of Sheffield, UK. Outline of Talk. Introduction to the Problem

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Project Closure Report

Project Closure Report. Basker George. Project Closure. When does a project end? Does it end when the software has been delivered to customer & acceptance-tested? Yes, Successful delivery might indeed mark the end of an individual project

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Overview of the INFILE track at CLEF 2009 multilingual INformation FILtering Evaluation

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CSA3080: Adaptive Hypertext Systems I

CSA3080: Adaptive Hypertext Systems I. Lecture 6: Information Retrieval II. Dr. Christopher Staff Department of Computer Science & AI University of Malta. Aims and Objectives. Statistical Model of IR. Aims and Objectives.

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Electronic Submission of Medical Documentation (esMD) Digital Signature and Author of Record

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Lecture 3: Retrieval Evaluation

Lecture 3: Retrieval Evaluation. Maya Ramanath. Benchmarking IR Systems. Result Quality Data Collection Ex: Archives of the NYTimes Query set Provided by experts, identified from real search logs, etc. Relevance judgements For a given query, is the document relevant?.

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Detailed Activities

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