'Phrase queries' diaporamas de présentation

Introducing Information Retrieval and Web Search

Introducing Information Retrieval and Web Search. Information Retrieval. Information Retrieval (IR) is finding material (usually documents) of an unstructured nature (usually text) that satisfies an information need from within large collections (usually stored on computers) .

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Text Pre-processing and Faster Query Processing

Text Pre-processing and Faster Query Processing. David Kauchak cs160 Fall 2009 adapted from: http://www.stanford.edu/class/cs276/handouts/lecture2-Dictionary.ppt. Administrative. Everyone have CS lab accounts/access? Homework 1 Page numbers Due before class next Wed.

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Lecture 2: The term vocabulary and postings lists Related to Chapter 2:

Lecture 2: The term vocabulary and postings lists Related to Chapter 2: http://nlp.stanford.edu/IR-book/pdf/02voc.pdf. Ch. 1. Recap of the previous lecture. Basic inverted indexes: Structure: Dictionary and Postings Key step in construction: Sorting Boolean query processing

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Modified from Stanford CS276 slides Chap. 2: The term vocabulary and postings lists

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Lecture 2: The term vocabulary and postings lists Related to Chapter 2:

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Information Retrieval and Text Mining

Lecture 2. Information Retrieval and Text Mining. Recap of the previous lecture. Basic inverted indexes: Structure: Dictionary and Postings Key step in construction: Sorting Boolean query processing Simple optimization Linear time merging Overview of course topics. Plan for this lecture.

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CS276: Information Retrieval and Web Search Pandu Nayak and Prabhakar Raghavan

CS276: Information Retrieval and Web Search Pandu Nayak and Prabhakar Raghavan Lecture 2: The term vocabulary and postings lists. Ch. 1. Recap of the previous lecture. Basic inverted indexes: Structure: Dictionary and Postings Key step in construction: Sorting Boolean query processing

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CS276: Information Retrieval and Web Search Christopher Manning and Prabhakar Raghavan

CS276: Information Retrieval and Web Search Christopher Manning and Prabhakar Raghavan Lecture 2: The term vocabulary and postings lists. Ch. 1. Recap of the previous lecture. Basic inverted indexes: Structure: Dictionary and Postings Key step in construction: Sorting

486 views • 48 slides

CS276: Information Retrieval and Web Search Christopher Manning and Prabhakar Raghavan

CS276: Information Retrieval and Web Search Christopher Manning and Prabhakar Raghavan Lecture 2: The term vocabulary and postings lists. Ch. 1. Recap of the previous lecture. Basic inverted indexes: Structure: Dictionary and Postings Key step in construction: Sorting

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Lecture 3: The term vocabulary and postings lists

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Information Retrieval

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More on Tokenization, Indexing, Implementation

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CES 514 Data Mining Feb 17, 2010

CES 514 Data Mining Feb 17, 2010 Lecture 2: The term vocabulary and postings lists. Ch. 1. Recap of the previous lecture. Basic inverted indexes: Structure: Dictionary and Postings Key step in construction: Sorting Boolean query processing

489 views • 42 slides

CES 514 Data Mining Feb 17, 2010

CES 514 Data Mining Feb 17, 2010 Lecture 2: The term vocabulary and postings lists. Ch. 1. Recap of the previous lecture. Basic inverted indexes: Structure: Dictionary and Postings Key step in construction: Sorting Boolean query processing

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Query processing: optimizations

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Fast Phrase Querying With Combined Indexes

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Lecture 2: The term vocabulary and postings lists

Lecture 2: The term vocabulary and postings lists. Algorithm. Intersect( p 1 , p 2) 1 answer ? 2 while p 1 = nil and p 2 = nil 3 do if doc ID ( p 1) = doc ID ( p 2) 4 then Add( answer, doc ID ( p 1)) 5 p 1 ? next ( p 1) 6 p 2 ? next ( p 2)

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Information Retrieval

Information Retrieval. Lecture 2: The term vocabulary and postings lists. Plan for this lecture. Elaborate basic indexing Preprocessing to form the term vocabulary Documents Tokenization What terms do we put in the index? Postings Faster merges: skip lists

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LIS618 lecture 3

LIS618 lecture 3. Thomas Krichel 2003-02-13. Structure of talk. Document Preprocessing Basic ingredients of query languages Retrieval performance evaluation. document preprocessing. There are some operations that may be done to the documents before indexing lexical analysis

326 views • 22 slides