'Test collections' presentation slideshows

The Principle of Information Retrieval

The Principle of Information Retrieval. Department of Information Management School of Information Engineering Nanjing University of Finance & Economics 2011. II ????. 5 Evaluation in information retrieval. How to measure user happiness. The key utility measure is user happiness

964 views • 96 slides

LBSC 796/INFM 718R: Week 2 Evaluation

LBSC 796/INFM 718R: Week 2 Evaluation. Jimmy Lin College of Information Studies University of Maryland Monday, February 6, 2006. IR is an experimental science!. Formulate a research question: the hypothesis Design an experiment to answer the question Perform the experiment

710 views • 61 slides

Identity Resolution in Email Collections

Identity Resolution in Email Collections. Tamer Elsayed and Douglas W. Oard. Department of Computer Science, UMIACS, and iSchool. CLIP Colloquium, UMD, Feb 2009. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~.

650 views • 59 slides

Lecture 12: Evaluation Intro

Prof. Ray Larson University of California, Berkeley School of Information Tuesday and Thursday 10:30 am - 12:00 pm Spring 2007 http://courses.ischool.berkeley.edu/i240/s07. Lecture 12: Evaluation Intro. Principles of Information Retrieval. Today. Mini-TREC Setup reports

627 views • 54 slides

Evaluation

Evaluation. Rong Jin. Evaluation. Evaluation is key to building effective and efficient search engines usually carried out in controlled experiments online testing can also be done Effectiveness and efficiency are related High efficiency may be obtained at the price of effectiveness.

702 views • 53 slides

Evaluation of IR systems

Evaluation of IR systems. Lecture plan. Background System-centred evaluation User-centred evaluation. The changing face of evaluation. Originally... Batch IR systems Small, textual collections Queries formulated by searchers Today... Interactive IR systems

660 views • 48 slides

Search Results Need to be Diverse

425 views • 42 slides

EVALUATION in searching

EVALUATION in searching. IR systems Digital libraries Reference sources Web sources. Definition of evaluation. Dictionary: 1. assessment of value the act of considering or examining something in order to judge its value, quality, importance, extent, or condition In searching:

577 views • 31 slides

Towards Practical Relevance Ranking for 10 Million Books

Towards Practical Relevance Ranking for 10 Million Books. w www.hathitrust.org ww.hathitrust.org. Tom Burton-West Information Retrieval Programmer Digital Library Production Service University of Michigan Library www.hathitrust.org/blogs/large-scale-search Code4lib February 12, 2013.

409 views • 30 slides

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

614 views • 26 slides

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

572 views • 26 slides

Philosophy of IR Evaluation

Philosophy of IR Evaluation. Ellen Voorhees. Evaluation: How well does system meet information need?. System evaluation : how good are document rankings? User-based evaluation : how satisfied is user?. ?. Why do system evaluation?.

387 views • 24 slides

The Enron and W3C Collections

The Enron and W3C Collections. Tamer Elsayed and Douglas W. Oard. University of Maryland. ICAIL 2007, DESI Workshop, June 4 th , 2007. Variants of Email Search. Searcher. Collection. Rich multimodal data Emails Phone calls Databases. The (Extended) Enron Collection.

425 views • 22 slides

The Enron and W3C Collections

The Enron and W3C Collections. Tamer Elsayed and Douglas W. Oard. University of Maryland. ICAIL 2007, DESI Workshop, June 4 th , 2007. Variants of Email Search. Searcher. Collection. Rich multimodal data Emails Phone calls Databases. The (Extended) Enron Collection.

228 views • 22 slides

The Enron and W3C Collections

The Enron and W3C Collections. Tamer Elsayed and Douglas W. Oard. University of Maryland. ICAIL 2007, DESI Workshop, June 4 th , 2007. Variants of Email Search. Searcher. Collection. Rich multimodal data Emails Phone calls Databases. The (Extended) Enron Collection.

227 views • 22 slides

Planning for the TREC 2008 Legal Track

276 views • 17 slides

Lessons Learned from Information Retrieval

Lessons Learned from Information Retrieval. Chris Buckley Sabir Research chrisb@sabir.com. Legal E-Discovery. Important, growing problem Current solutions not fully understood by people using them Imperative to find better solutions that scale Evaluation required

135 views • 13 slides

Sustainable Preservation Services for Archivists through Distributed Custody

206 views • 11 slides