Customer Service | Help | FAQ | PEP-Easy | Report a Data Error | About
:
Login
Tip: Understanding Rank

PEP-Web Tip of the Day

When you do a search, you can sort the results bibliographically alphabetical or by “rank”.  What is Rank?

Rank refers to the search engine’s “best guess” as to the relevance of the result to the search you specified.  The exact method of ranking used varies a bit depending on the search.  In its most basic level, when you specify a single search term, rank looks at the density of the matches for the word in the document, and how close to the beginning of the document they appear as a measure of importance to the paper’s topic.  The documents with the most matches and where the term is deemed to have the most importance, have the highest “relevance” and are ranked first (presented first).

When you specify more than one term to appear anywhere in the article, the method is similar, but the search engine looks at how many of those terms appear, and how close together they appear, how close to the beginning of the document, and can even take into account the relative rarity of the search terms and their density in the retrieved file, where infrequent terms count more heavily than common terms.

To see a simple example of this, search for the words (not the phrase, so no quotes):

unconscious communications

Look at the density of matches in each document on the first page of the hits.  Then go to the last page of matched documents, and observe the density of matches within the documents. 

A more complex search illustrates this nicely with a single page and only 15 matches:

counter*tr* w/25 “liv* out” w/25 enact*

There are a lot of word forms and variants of the words (due to the * wildcards) above that can match, but the proximity (w/25) clause limits the potential for matching.  What’s interesting here though is how easily you can see the match density decrease as you view down the short list.  

The end result of selecting order by rank is that the search engine’s best “guess” as to which articles are more relevant appear higher on the list than less relevant articles.

For the complete list of tips, see PEP-Web Tips on the PEP-Web support page.

The Institute for New Economic Thinking (2013). How Investors Use Stories to Tame Uncertainty. PEP Videostream, 1(1):1.

(2013). PEP Videostream, 1(1):1

How Investors Use Stories to Tame Uncertainty

Produced by:
The Institute for New Economic Thinking

An Interview with:
David Tuckett

Interviewed by:
Perry G. Mehrling

Professor Perry G. Mehrling of Columbia University and the Institute of New Economic Thinking talks to David Tuckett, Professor of Psychoanalysis at University College London, about his Emotional Finance project where he uses standard sociological interviewing techniques to investigate a series of leading fund managers to find out how they made decisions to buy, hold or sell assets. He says that because future values are fundamentally uncertain financial markets cannot be driven by calculation of economic fundamentals alone — instead, they are driven by stories about those fundamentals, created through skill and imagination. Based on these interviews David Tuckett merges insights from Keynes, from sociology, and from psychoanalysis to develop what he calls emotional finance – this is new economic thinking.

[This is a summary or excerpt from the full text of the book or article. The full text of the document is available to subscribers.]

Copyright © 2019, Psychoanalytic Electronic Publishing, ISSN 2472-6982 Customer Service | Help | FAQ | Download PEP Bibliography | Report a Data Error | About

WARNING! This text is printed for personal use. It is copyright to the journal in which it originally appeared. It is illegal to redistribute it in any form.