'Boolean model' presentation slideshows

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1.16k views • 97 slides

Information Retrieval

Information Retrieval. CSE 8337 (Part III) Spring 2011 Some Material for these slides obtained from: Modern Information Retrieval by Ricardo Baeza -Yates and Berthier Ribeiro-Neto http://www.sims.berkeley.edu/~hearst/irbook/

1.04k views • 83 slides

WIRED Week 2

WIRED Week 2. Syllabus Update (at least another week) Readings Overview Many ways to explain the same things Always think of the user Skip the math (mostly) Readings Review Most complicated of the entire semester Refer back to it often Readings Review - More Models Non-Linear

801 views • 65 slides

Information Retrieval

Information Retrieval. CSE 8337 Spring 2003 Modeling Material for these slides obtained from: Modern Information Retrieval by Ricardo Baeza-Yates and Berthier Ribeiro-Neto http://www.sims.berkeley.edu/~hearst/irbook/

674 views • 55 slides

Information Retrieval

Information Retrieval. CSE 8337 Spring 2005 Modeling Material for these slides obtained from: Modern Information Retrieval by Ricardo Baeza-Yates and Berthier Ribeiro-Neto http://www.sims.berkeley.edu/~hearst/irbook/

702 views • 55 slides

Introduction to Digital Libraries Information Retrieval

Introduction to Digital Libraries Information Retrieval. Performance of search. 3 major classes of measuring performance precision / recall TREC conference series, http://trec.nist.gov/ space / time see Esler & Nelson, JNCA for an example

713 views • 38 slides

CS 430 / INFO 430 Information Retrieval

CS 430 / INFO 430 Information Retrieval. Lecture 6 Boolean Methods. Course Administration. Assignments You are encouraged to use existing Java or C++ classes, e.g., to manage data structures.

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The Boolean Model

The Boolean Model. Simple model based on set theory Queries specified as boolean expressions precise semantics neat formalism q = k a ? (k b ? ?k c ) Terms are either present or absent. Thus, w ij ? {0,1} Consider q = k a ? (k b ? ?k c )

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CS621 : Artificial Intelligence

373 views • 31 slides

ISP 433/533 Week 2

ISP 433/533 Week 2. IR Models. Outline. IR defined IR tasks IR processes Boolean model Break Vector space model Probabilistic model. User Information Needs. Goal of IR Hard Problem People have different and highly varied needs for information

374 views • 29 slides

University of Palestine

418 views • 26 slides

IR Theory: IR Basics & Vector Space Model

IR Theory: IR Basics & Vector Space Model. IR Approach. Information Seeker. Authors. Information Need. Concepts. Query String. Document Text. Is the document relevant to the query?. IR System Architecture. Documents. Query. Representation Module. Representation Module. Document

437 views • 25 slides

Other IR Models

Set Theoretic. Structured Models. Fuzzy Extended Boolean. Non-Overlapping Lists Proximal Nodes. Browsing. Flat Structure Guided Hypertext. Other IR Models. Classic Models. boolean vector probabilistic. Algebraic. U s e r T a s k. Generalized Vector

496 views • 25 slides

IR Theory: IR Basics & Vector Space Model

IR Theory: IR Basics & Vector Space Model. IR Approach. Information Seeker. Authors. Information Need. Concepts. Query String. Document Text. Is the document relevant to the query?. IR System Architecture. Documents. Query. Representation Module. Representation Module. Document

430 views • 25 slides

CS621 : Artificial Intelligence

CS621 : Artificial Intelligence. Pushpak Bhattacharyya CSE Dept., IIT Bombay Lecture 16: IR models. IR Basics. (Slides used from the teaching material associated with the book R. Baeza-Yates and B. Ribeiro-Neto. Modern Information RetrievalAddison-Wesley, Wokingham, UK, 1999.).

352 views • 24 slides

Intro to Information Retrieval

Intro to Information Retrieval. By the end of the lecture you should be able to: explain the differences between database and information retrieval technologies describe the basic maths underlying set-theoretic and vector models of classical IR. Reminder: efficiency is vital.

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Lecture 2: Retrieval Models

Lecture 2: Retrieval Models. Maya Ramanath. QQ1. Vector space model: 0 for non-presence of a term, 1 for presence: Query: q1 AND q2 AND q3 Compare the set of results returned by the vector space model and boolean model. Term weighting (1/3): tf. Query: Cat. D2. D3. D1. D1. D3.

233 views • 16 slides

CSM06 Information Retrieval

197 views • 13 slides

Boolean Models A Mechanism for Constructing Truth Tables By Alex Efta Kelly Martin Lance Dehne

227 views • 11 slides

Boolean Model

Boolean Model. Boolean Model. A document is represented as a set of keywords. Queries are Boolean expressions of keywords, connected by AND, OR, and NOT, including the use of brackets to indicate scope. [[Rio & Brazil] | [Hilo & Hawaii]] & hotel & !Hilton]

265 views • 7 slides