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Information Retrieval

Information Retrieval

Information Retrieval. September 19, 2005. Dragomir R. Radev University of Michigan radev@umich.edu. About the instructor. Dragomir R. Radev Associate Professor, University of Michigan School of Information Department of Electrical Engineering and Computer Science

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2.52k views • 234 slides
WIRED Week 2

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

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804 views • 65 slides
Models for Retrieval and Browsing - Classical IR Models

Models for Retrieval and Browsing - Classical IR Models

Models for Retrieval and Browsing - Classical IR Models. Berlin Chen 2004. Reference: 1. Modern Information Retrieval, chapter 2. Index Terms. Meanings From Two Perspectives In a restricted sense (keyword-based)

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567 views • 55 slides
Lecture 1: Introduction and History

Lecture 1: Introduction and History

Prof. Ray Larson University of California, Berkeley School of Information http://courses.sims.berkeley.edu/i240/s11/. Lecture 1: Introduction and History. Principles of Information Retrieval. Lecture Overview. Introduction to the Course (re)Introduction to Information Retrieval

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620 views • 49 slides
Lecture 1: Introduction and History

Lecture 1: Introduction and History

Prof. Ray Larson University of California, Berkeley School of Information Tuesday and Thursday 10:30 am - 12:00 pm Spring 2007 http://courses.sims.berkeley.edu/i240/s07/. Lecture 1: Introduction and History. Principles of Information Retrieval. Lecture Overview.

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645 views • 46 slides
Lecture 1: Introduction and History

Lecture 1: Introduction and History

Prof. Ray Larson University of California, Berkeley School of Information http://courses.sims.berkeley.edu/i240/s09/. Lecture 1: Introduction and History. Principles of Information Retrieval. Lecture Overview. Introduction to the Course (re)Introduction to Information Retrieval

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547 views • 46 slides
Special Topics in Computer Science The Art of Information Retrieval Chapter 2: Modeling

Special Topics in Computer Science The Art of Information Retrieval Chapter 2: Modeling

Special Topics in Computer Science The Art of Information Retrieval Chapter 2: Modeling. Alexander Gelbukh www.Gelbukh.com. Previous chapter. User Information Need Vague Semantic, not formal Document Relevance Order, not retrieve Huge amount of information Efficiency concerns Tradeoffs

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444 views • 36 slides
Special Topics in Computer Science The Art of Information Retrieval Chapter 2: Modeling

Special Topics in Computer Science The Art of Information Retrieval Chapter 2: Modeling

Special Topics in Computer Science The Art of Information Retrieval Chapter 2: Modeling. Alexander Gelbukh www.Gelbukh.com. Previous chapter. User Information Need Vague Semantic, not formal Document Relevance Order, not retrieve Huge amount of information Efficiency concerns Tradeoffs

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439 views • 36 slides
Latent Semantic Analysis

Latent Semantic Analysis

Latent Semantic Analysis. Berlin Chen Department of Computer Science & Information Engineering National Taiwan Normal University. References:

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369 views • 36 slides
Latent Semantic Analysis (LSA)

Latent Semantic Analysis (LSA)

Latent Semantic Analysis (LSA). Berlin Chen Department of Computer Science & Information Engineering National Taiwan Normal University. References:

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361 views • 34 slides
Chinese Spoken Document Retrieval and Organization

Chinese Spoken Document Retrieval and Organization

Chinese Spoken Document Retrieval and Organization. Berlin Chen ( ??? ) Associate Professor Department of Computer Science ? Information Engineering National Taiwan Normal University. 2006/08/03. Outline. Introduction Information Retrieval Models Spoken Document Summarization

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472 views • 32 slides
Special Topics in Computer Science Advanced Topics in Information Retrieval Chapter 2: Modeling

Special Topics in Computer Science Advanced Topics in Information Retrieval Chapter 2: Modeling

Special Topics in Computer Science Advanced Topics in Information Retrieval Chapter 2: Modeling. Alexander Gelbukh www.Gelbukh.com. Previous chapter. User Information Need Vague Semantic, not formal Document Relevance Order, not retrieve Huge amount of information Efficiency concerns

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502 views • 29 slides
Latent Semantic Analysis (LSA)

Latent Semantic Analysis (LSA)

Latent Semantic Analysis (LSA). Berlin Chen Department of Computer Science & Information Engineering National Taiwan Normal University. References:

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299 views • 27 slides
Information Retrieval Models

Information Retrieval Models

Information Retrieval Models. Retrieval Models. A retrieval model specifies the details of: Document representation Query representation Retrieval function Determines a notion of relevance. Notion of relevance can be binary or continuous (i.e. ranked retrieval ).

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1.87k views • 19 slides
Internet Resources Discovery (IRD)

Internet Resources Discovery (IRD)

Internet Resources Discovery (IRD). Classic Information Retrieval (IR). Classical IR. Deals with Textual Information Retrieval. Exists for a few decades, mostly for text repositories. Pushed strongly with the development of the WWW for search engines. IR Topics and their Relationships.

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277 views • 16 slides

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