11 basic assumpons of informaon retrieval collecon

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Unformatted text preview: a)on Retrieval Unstructured (text) vs. structured (database) data today 250 200 150 Unstructured Structured 100 50 0 Data volume Market Cap 4 Introduc)on to Informa)on Retrieval Sec. 1.1 Basic assump*ons of Informa*on Retrieval §༊  Collec*on: A set of documents §༊  Assume it is a sta*c collec*on for the moment §༊  Goal: Retrieve documents with informa*on that is relevant to the user’s informa*on need and helps the user complete a task 5 Introduc)on to Informa)on Retrieval The classic search model Get rid of mice in a politically correct way User task Misconception? Info about removing mice without killing them Info need Misformulation? Query how trap mice alive Search engine Query refinement Results Collection Searc h Introduc)on to Informa)on Retrieval Sec. 1.1 How good are the retrieved docs? §༊  Precision : Frac*on of retrieved docs that are relevant to the user’s informa*on need §༊  Recall : Frac*on of relevant docs...
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This document was uploaded on 02/14/2014.

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