'Information retrieval' presentation slideshows

Information retrieval - PowerPoint PPT Presentation


The KB on its way to Web 2.0

The KB on its way to Web 2.0

The KB on its way to Web 2.0. Lower the barrier for users to remix the output of services . Theo van Veen, ELAG 2006, April 26 . Overview. Goals Trends in information retrieval How do we enhance integration Explanation of the concept of service integration

By oshin
(287 views)

Advanced best match

Advanced best match

Advanced best match Mark Sanderson Porto, 2000 Aims To build on what you have done so far, reviewing more sophisticated ways of ranking documents in relation to a query. Objectives At the end of this lecture you will be able to describe a range of statistically based approaches to IR namely

By lotus
(332 views)

Advanced best match

Advanced best match

Advanced best match Mark Sanderson Porto, 2000 Aims To build on what you have done so far, reviewing more sophisticated ways of ranking documents in relation to a query. Objectives At the end of this lecture you will be able to describe a range of statistically based approaches to IR namely

By albert
(305 views)

Discussion Class 10

Discussion Class 10

Discussion Class 10 Informedia Discussion Classes Format: Question Ask a member of the class to answer. Provide opportunity for others to comment. When answering: Stand up. Give your name. Make sure that the TA hears it. Speak clearly so that all the class can hear. Suggestions:

By JasminFlorian
(253 views)

A System for Understanding Imaged Infographics and Its Applications

A System for Understanding Imaged Infographics and Its Applications

A System for Understanding Imaged Infographics and Its Applications Weihua Huang, Chew Lim Tan School of Computing National University of Singapore Outline Introduction Syntactic and semantic information in scientific charts Chart recognition Chart interpretation Applications

By jaden
(260 views)

Developing Mobile Applications

Developing Mobile Applications

Developing Mobile Applications Milenko Petrovic May 18 th , 2005, Toronto Agenda Emerging mobile services Limitations of current technology Developing mobile applications using Eximius mBaze framework Bookstore service: an example application Demand Drivers Consumer applications

By issac
(404 views)

Abe Lederman, President and CTO Deep Web Technologies 2008 STIP Working Meeting, April 23, 2008

Abe Lederman, President and CTO Deep Web Technologies 2008 STIP Working Meeting, April 23, 2008

Federated Search: The Technology For Making Global Discovery a Reality Abe Lederman, President and CTO Deep Web Technologies 2008 STIP Working Meeting, April 23, 2008 Who We Are… Founded in 2002 Headquartered in Santa Fe, New Mexico 20 Employees

By KeelyKia
(336 views)

Chapter 27 Introduction to Information Retrieval and Web Search

Chapter 27 Introduction to Information Retrieval and Web Search

Chapter 27 Introduction to Information Retrieval and Web Search. Chapter 27 Outline. Information Retrieval (IR) Concepts Retrieval Models Types of Queries in IR Systems Text Preprocessing Inverted Indexing. Chapter 27 Outline (cont’d.). Evaluation Measures of Search Relevance

By sherlock_clovis
(282 views)

A Hybrid Approach for Searching in the Semantic Web

A Hybrid Approach for Searching in the Semantic Web

A Hybrid Approach for Searching in the Semantic Web. P.Raja 07MW06 Final Yr ME-Software Engg. Guide: Dr . S. N. Sivanandam Dept of Computer science & Engg. Outline. Introduction Proposal Weight Mapping Hybrid Spread Activation Implementation Architecture. INTRODUCTION.

By Leo
(516 views)

Tiddler: Customised publishing based on XML profiles and XML data sources

Tiddler: Customised publishing based on XML profiles and XML data sources

Tiddler: Customised publishing based on XML profiles and XML data sources . François Paradis , C é cile Paris, Anne-Marie Vercoustre, Stephen Wan, Ross Wilkinson, MingFang Wu. CSIRO Mathematical and Information Sciences. Outline. Motivation Examples Current approaches Our approach

By Pat_Xavi
(367 views)

Topic Detection and Tracking

Topic Detection and Tracking

Lexical Chains for Topic Detection and Tracking British Classification Society Feb 23rd 2001 Joe Carthy & Nicola Stokes University College Dublin joe.carthy@ucd.ie nicola.stokes@ucd.ie http://www.cs.ucd.ie/staff/jcarthy Tel. +353 1 706 2481 or 706 2469 Fax. +353 1 269 7262.

By Gideon
(359 views)

Searching through e-Discovery

Searching through e-Discovery

Searching through e-Discovery. Greg Buckles Julie Wade. April 9, 2009. GoToWebinarTips. Click to hide or display the control panel on your screen Type your question into the Question and Answer Panel. The moderator will notify the presenter of submitted questions. Thank you!.

By Lucy
(185 views)

couple of notes…

couple of notes…

couple of notes…. discussion facilitator assignment no “right way” 10 Rules for Leading a Discussion (handout) updated schedule – look at website. learning outcome for class today: discern between four different approaches to instruction. Instruction. Information Retrieval.

By issac
(345 views)

FEDLINK Contracts

FEDLINK Contracts

FEDLINK Contracts. Joan M. Fitts Head, FEDLINK Contracts section Library of Congress Contracts & Grants Management (CGM). Responsibilities .

By Gabriel
(656 views)

ParaMor

ParaMor

ParaMor. Across Mor phology. Finding Para digms. C hristian M onson. Turkish Morphology – Beads on a String. present progressive. 2 nd person singular. take. pass ive. negative. You are not being taken. Turkish Morphology – Beads on a String. götür. ül. m. ü yor. s u n.

By Jimmy
(188 views)

The Economics of Internet Search

The Economics of Internet Search

The Economics of Internet Search . Hal R. Varian Sept 31, 2007. Search engine use. Search engines are very popular 84% of Internet users have used a search engine 56% of Internet users use search engines on a given day They are also highly profitable

By jaden
(234 views)

Distributional models

Distributional models

Distributional models. Katrin Erk. Representing meaning through collections of words. Doc 1 : Abdullah boycotting challenger commission dangerous election interest Karzai necessary runoff Sunday . Doc 2 : animatronics are children’s igloo intimidating Jonze kingdom smashing Wild .

By Mercy
(245 views)

Nicolas Fiorini , Zhiyong Lu NCBI/NLM/NIH Twitter: #AMIA2017

Nicolas Fiorini , Zhiyong Lu NCBI/NLM/NIH Twitter: #AMIA2017

PubMed’s new relevance search Innovations in Information Retrieval Session 103. Nicolas Fiorini , Zhiyong Lu NCBI/NLM/NIH Twitter: #AMIA2017. Motivation. Improve PubMed’s relevance search Providing more relevant results Reducing users’ browsing time Better understand user needs

By Albert_Lan
(720 views)

CS276: Information Retrieval and Web Search Pandu Nayak and Prabhakar Raghavan Lecture 6: Scoring, Term Weighting and t

CS276: Information Retrieval and Web Search Pandu Nayak and Prabhakar Raghavan Lecture 6: Scoring, Term Weighting and t

CS276: Information Retrieval and Web Search Pandu Nayak and Prabhakar Raghavan Lecture 6: Scoring, Term Weighting and the Vector Space Model. Recap of lecture 5. Collection and vocabulary statistics: Heaps’ and Zipf’s laws Dictionary compression for Boolean indexes

By johana
(294 views)

Search Engine Technology (1)

Search Engine Technology (1)

Search Engine Technology (1). Prof. Dragomir R. Radev radev@cs.columbia.edu. SET FALL 2013. … Introduction … … … …. Examples of search engines. Conventional (library catalog). Search by keyword, title, author, etc .

By benjamin
(203 views)

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