computer science

SMART Information Retrieval System

SMART Information Retrieval System is a computer science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand SMART Information Retrieval System rather than just read about it. In short: The SMART (System for the Mechanical Analysis and Retrieval of Text) Information Retrieval System is an information retrieval system developed at Cornell University in the 1960s. Many important concepts in information retrieval were developed as part of research on the SMART system, including the vector space model, relevance feedback, and Rocchio classification.

Key takeaways

SMART Information Retrieval System belongs to computer science; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect SMART Information Retrieval System to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of SMART Information Retrieval System from memory before moving on to harder problems.

Reference excerpt

The SMART (System for the Mechanical Analysis and Retrieval of Text) Information Retrieval System is an information retrieval system developed at Cornell University in the 1960s. Many important concepts in information retrieval were developed as part of research on the SMART system, including the vector space model, relevance feedback, and Rocchio classification. Gerard Salton led the group that developed SMART. Other contributors included Mike Lesk. The SMART system also provides a set of corpora, queries and reference rankings, taken from different subjects, notably

ADI: publications from information science reviews Computer science Cranfield collection: publications from aeronautic reviews Forensic science: library science MEDLARS collection: publications from medical reviews Time magazine collection: archives of the generalist review Time in 1963 To the legacy of the SMART system belongs the so-called SMART triple notation, a mnemonic scheme for denoting tf-idf weighting variants in the vector space model. The mnemonic for representing a combination of weights takes the form ddd.qqq, where the first three letters represents the term weighting of the collection document vector and the second three letters represents the term weighting for the query document vector. For example, ltc.lnn represents the ltc weighting applied to a collection document and the lnn weighting applied to a query document. The following tables establish the SMART notation:

The gray letters in the first, fifth, and ninth columns are the scheme used by Salton and Buckley in their 1988 paper. The bold letters in the second, sixth, and tenth columns are the scheme used in experiments reported thereafter.

References

External links Software and test collections (FTP at Cornell University) Interactive SMART tutorial

Worked examples

Example 1 — a first encounter with SMART Information Retrieval System

Start with the simplest possible case. Write down what SMART Information Retrieval System claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to SMART Information Retrieval System before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about SMART Information Retrieval System ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of SMART Information Retrieval System

In research: SMART Information Retrieval System appears in computer science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses SMART Information Retrieval System in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: SMART Information Retrieval System is common in secondary-school and first-year university syllabi. It links to neighbouring topics Discontinued software, Search engine software, Software engineering stubs, so understanding it makes those chapters shorter.
In everyday life: Look for SMART Information Retrieval System outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

Affiliate

Preply — study more efficiently by working with a personal tutor. 50% off.

How to study SMART Information Retrieval System in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what SMART Information Retrieval System means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain SMART Information Retrieval System out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is SMART Information Retrieval System in simple terms?

Why does SMART Information Retrieval System matter?

Because it connects several computer science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study SMART Information Retrieval System?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on SMART Information Retrieval System.