'Boolean queries' presentation slideshows

Information Retrieval and Recommendation Techniques

Information Retrieval and Recommendation Techniques. ????????? ???. Abstraction. Reality (real world) can not known in its entirety Reality is represented by a collection of data abstracted from observation of the real world. Information need drives the storage and retrieval of information.

3.43k views • 318 slides

Learning to Classify Text

Learning to Classify Text. William W. Cohen Center for Automated Learning and Discovery Carnegie Mellon University. Outline. Some examples of text classification problems topical classification vs genre classification vs sentiment detection vs authorship attribution vs ...

763 views • 64 slides

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) .

843 views • 64 slides

CS276 Information Retrieval and Web Search Pandu Nayak and Prabhakar Raghavan

CS276 Information Retrieval and Web Search Pandu Nayak and Prabhakar Raghavan Lecture 1: Boolean retrieval. Information Retrieval.

637 views • 48 slides

CMPS 561 Boolean Retrieval

CMPS 561 Boolean Retrieval. Ryan Benton August 30, 2010. Agenda. Indices IR System Models Processing Boolean Query Algorithms for Intersection. Indices. Indices. Question: How do we store documents and terms such that we can retrieve documents Efficiently Effectively

598 views • 45 slides

Query Models

Query Models. Use Types What do search engines do. What we have covered. What is IR Evaluation Tokenization and properties of text Vector models of documents Web crawling This time Query models. Index. Query Engine. Interface. Indexer. Users. Crawler. Web.

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617 views • 40 slides

Retrieval Models and Ranking Systems

Retrieval Models and Ranking Systems. CSC 575 Intelligent Information Retrieval. 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

879 views • 39 slides

15-381 Artificial Intelligence

534 views • 38 slides

The E-Discovery Games: A Closer Look at Technology Assisted Document Review David D. Lewis, Ph.D., Information Retrieval

The E-Discovery Games: A Closer Look at Technology Assisted Document Review David D. Lewis, Ph.D., Information Retrieval Consultant Kara M. Kirkeby, Esq., Document Review Manager, Kroll Ontrack. 1. Dave Lewis, Ph.D. President, David D. Lewis Consulting Co-founder TREC Legal Track

559 views • 36 slides

Query Models

Query Models. Use Types What do search engines do. What we have covered. What is IR Evaluation Tokenization and properties of text Web crawling This time Query models. Index. Query Engine. Interface. Indexer. Users. Crawler. Web. A Typical Web Search Engine. Queries. Index.

459 views • 36 slides

Modern information retrieval

Modern information retrieval. Chapter. 04: Query Languages. Outline. Keyword-based querying Queries in weighted systems Pattern matching Natural language Structured queries Query protocols. Keyword-based querying. Queries are combinations of words.

458 views • 31 slides

Chapter 4 Query Language

Chapter 4 Query Language. Hsin-Hsi Chen Department of Computer Science and Information Engineering National Taiwan University. Introduction. Goals Which queries can be formulated How the formulation is related to underlying information retrieval models Query languages. Boolean queries

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Information Retrieval

Information Retrieval. CSE 8337 Spring 2003 Query Languages Material for these slides obtained from: Modern Information Retrieval by Ricardo Baeza-Yates and Berthier Ribeiro-Neto http://www.sims.berkeley.edu/~hearst/irbook/ Prof. Raymond J. Mooney in CS378 at University of Texas

362 views • 27 slides

Information Retrieval

Information Retrieval. CSE 8337 Spring 2005 Query Languages Material for these slides obtained from: Modern Information Retrieval by Ricardo Baeza-Yates and Berthier Ribeiro-Neto http://www.sims.berkeley.edu/~hearst/irbook/ Prof. Raymond J. Mooney in CS378 at University of Texas

388 views • 27 slides

University of Palestine

432 views • 26 slides

Chapter 4 Query Languages

Chapter 4 Query Languages. Introduction. Cover different kinds of queries posed to text retrieval systems Keyword-based query languages include simple words and phrases as well as Boolean operators Pattern matching complement keyword searching with data retrieval capabilities

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CSE 535 Information Retrieval

CSE 535 Information Retrieval. Lecture 2: Boolean Retrieval Model. Term-document incidence. 1 if play contains word , 0 otherwise. Linked lists generally preferred to arrays Dynamic space allocation Insertion of terms into documents easy Space overhead of pointers. Brutus. Calpurnia.

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Web-based Information Architectures MSEC 20-760 Mini II

Web-based Information Architectures MSEC 20-760 Mini II. Location: GSIA Simon Auditorium Time: 1:30-3:20pm, Tues. & Thurs. Instructor: Prof. Jaime Carbonell Office: NSH 4519 Email: jgc@cs.cmu.edu Tel: 268-7279 [Augmented with expert guest lectures]

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Dynamic Queries

180 views • 11 slides