IR-part1

11 basic assumpons of informaon retrieval collecon

Info iconThis preview shows page 1. Sign up to view the full content.

View Full Document Right Arrow Icon
This is the end of the preview. Sign up to access the rest of the document.

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...
View Full Document

This document was uploaded on 02/14/2014.

Ask a homework question - tutors are online