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How to Pick Up Women…
Using IR Strategies By Mike Wooldridge May 9, 2006
User with “information” need
Collection of “documents”
Objective: Formulate a query that returns relevant documents
Too Few Results “Anyone want to see the waterbed in my van?”
Too Many Results “I’m Brad Pitt.”
Relevance Feedback “Anyone want to see the waterbed in my van?”
Revised Query “Anyone want to see the swimming pool at my mansion?”
Term Weighting “Anyone want to see the 3 swimming pools at my 9-bedroom mansion?”
Cross-Language Retrieval “Can I buy you a drink?”
Cross-Language Retrieval “¿Puedo le compro una bebida?”
Precision vs. Recall vs. Blood-Alcohol Content
Information Retrieval (IR) on the Internet. Contents Definition of IR Performance Indicators of IR systems Basics of an IR system Some IR Techniques.
Relevance Feedback A relevance feedback mechanism for content- based image retrieval G. Ciocca, R. Schettini 1999.
1 Evaluations in information retrieval. 2 Evaluations in information retrieval: summary The following gives an overview of approaches that are applied.
LIS618 lecture 2 Thomas Krichel Structure Theory: information retrieval performance Practice: more advanced dialog.
Evaluating content-oriented XML retrieval: The INEX initiative Mounia Lalmas Queen Mary University of London
Special Topics in Computer Science The Art of Information Retrieval Chapter 10: User Interfaces and Visualization Alexander Gelbukh
Image Retrieval With Relevant Feedback Hayati Cam & Ozge Cavus IMAGE RETRIEVAL WITH RELEVANCE FEEDBACK Hayati CAM Ozge CAVUS.
Even More TopX: Relevance Feedback Ralf Schenkel Joint work with Osama Samodi, Martin Theobald.
What is a bar graph? A bar graph is a graphical way of showing comparisons by using rectangular shapes with lengths proportional to the measure of what.
COMP3410 DB32: Technologies for Knowledge Management Lecture 7: Query Broadening to improve IR By Eric Atwell, School of Computing, University of Leeds.
Introduction to Information Retrieval Introduction to Information Retrieval Lecture 7: Scoring and results assembly.
ROPES Weekly Procedures How will I set up my weekly ROPES? This sheet will provide you a step by step guide to solving the weekly ROPES problem. You should.
INEX: Evaluating content-oriented XML retrieval Mounia Lalmas Queen Mary University of London
Searching technique for online databases and internet Dr. Hesamaddin Kamal Zadeh 2013.
Focus on user needs, not government needs Simpler.
IBIS-Q Tutorial: General Query Overview The Dataset Queries button on the IBIS-PH home page takes you to the query system.
Evaluating the Robustness of Learning from Implicit Feedback Filip Radlinski Thorsten Joachims Presentation by Dinesh Bhirud
2. Searching the OED. Type a word or phrase in the ‘Quick search’ box…
Relevance Feedback User tells system whether returned/disseminated documents are relevant to query/information need or not Feedback: usually positive sometimes.
Federated Search of Today and Tomorrow Shanyun Zhang Electronic Resources Librarian, John K. Mullen Library The Catholic University of America Potomac.
All That Corn Vocabulary Lesson. ELA1R5 The student acquires and uses grade-level words to communicate effectively. The student a. Reads and listens to.
Information Retrieval Liam Quin, Barefoot Computing, Toronto.
Special Topics in Computer Science The Art of Information Retrieval Chapter 3: Retrieval Evaluation Alexander Gelbukh
Tara Guthrie, 2010 BOOLEAN SEARCHING How it can help you do effective database and Internet searching.
Special Topics in Computer Science Advanced Topics in Information Retrieval Chapter 3: Goals: Retrieval Evaluation Alexander Gelbukh
Quick and effective feedback Using signatures.
End of term party!. Your tasks To plan an end of term party. Find out what people want Research costs of entertainment, food and drink Keep a record of.
1 eEurope Awards for eGovernment – 2005 Transforming Public Services Name of your project and registration number Workshop for Finalists, 15 September.
Sam Hastings University of North Texas School of Library and Information Sciences User Input into Image Retrieval Design.
Evaluating XML retrieval: The INEX initiative Mounia Lalmas Queen Mary University of London
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