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3 edition of The effect of indexing specificity on retrieval performance found in the catalog.

The effect of indexing specificity on retrieval performance

Elaine Svenonius

The effect of indexing specificity on retrieval performance

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Published .
Written in English


Edition Notes

Statementby E. Svenonius.
ID Numbers
Open LibraryOL20299624M

the indexing standard, and Soergel(l) discusses their effect on retrieval performance. Request-Oriented Indexing Because indexing is performed to facilitate informa- tion retrieval, it is necessary to consider the requirements put to a database by user needs. According to the docu-. understanding, retrieval and classification. Chapter 1 is written by editors as introduction. They significantly emphasized that “visual indexing and retrieval” is a research challenge and has become of foremost importance nowadays. The second chapter provides . encoding specificity. the effectiveness of memory retrieval is directly related to the similarity of cues present when the memory was encoded to the cues present when the memory is retrieved. serial position effect.


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The effect of indexing specificity on retrieval performance by Elaine Svenonius Download PDF EPUB FB2

The lack of an indexing theory to explain the indexing process is a major blind spot in information retrieval. Very little seems to have been written about the role and value of theory in indexing. Those who have written about it, however, tend to agree that it serves a vital function.

Indexing and Retrieval Performance: The Logical Evidence. Article (PDF Available) in Journal of the American Society for Information Science 45(8) September with ReadsAuthor: Dagobert Soergel. A cue present at recall and absent at learning produces a positive retrieval effect.

This effect approaches 0 in the case of SP- cues; it is highly significant in the case of the SP+ cues. The positive retrieval effect of the SP cues is stronger in LTM than in STM. If we consider the absolute values we find (0-SP+) - () _ in LTM and Cited by: 7.

Soergel, Indexing and retrieval performance 1 Introduction Indexing consumes the lion's share of database creation costs. Database designers need to know - whether indexing improves retrieval performance, - whether the improvement is worth the cost, and - what characteristics of indexing are important to achieve an improvement.

Encoding specificity manipulations do affect retrieval from memory because encoding increases the strength of the match between the cue and the target word in memory and therefore affects the.

Search engine optimisation indexing collects, parses, and stores data to facilitate fast and accurate information design incorporates interdisciplinary concepts from linguistics, cognitive psychology, mathematics, informatics, and computer alternate name for the process in the context of search engines designed to find web pages on the Internet is web indexing.

•Document: anything which one may search for, which contains information in different media (text, image, ) • This course: text • Text document = description in a natural language • Human vs. computer understanding • Read the text and understand the meaning • A computer cannot (yet) understand meaning as a human being, but can quickly process symbols (strings, words, ).File Size: KB.

Evalution of retrieval systems, text classification indexing Index construction defined Index construction sort-based A first take at indexing granularity Choosing a document unit In case of formatting errors you may want to look at the PDF edition of the book.

According to the encoding specificity principle, such manipulations are expected to affect the accessibility of memory traces (i.e., retrieval from memory). In contrast to this basic principle of memory, Higham reported an experiment suggesting that the effect of encoding specificity is on monitoring and report bias, but not on by: ENCODING SPECIFICITY AND RETRIEVAL PROCESSES IN EPISODIC MEMORY1 ENDEL TULVING 2 Yule University and University of Toronto, Toronto, Canada ANT) DONALD M.

THOMSON Monask University, Clayton, Victoria, slttstraliu Recent changes in prctheorclical orientation toward problems of human memory have brought with them a concern with retrieval File Size: 1MB. Subject indexing is the act of describing or classifying a document by index terms or other symbols in order to indicate what the document is about, to summarize its content or to increase its other words, it is about identifying and describing the subject of documents.

Indexes are constructed, separately, on three distinct levels: terms in a document such as a book; objects in. Three experiments were conducted to examine the effect of specificity at retrieval on the size of age differences in recollection. Participants encoded words in different contexts and were given recognition tests.

Some of the test lists were constructed so that participants had to recollect specific aspects of the initial encoding events, whereas other test lists required participants to Cited by:   Retrieval of two responses from one visually presented cue occurs sequentially at the outset of dual-retrieval practice.

Exclusively for subjects who adopt a mode of grouping (i.e., synchronizing) their response execution, however, reaction times after dual-retrieval practice indicate a shift to learned retrieval parallelism (e.g., Nino & Rickard, in Journal of Experimental Psychology Cited by: 9.

Text Analysis and Automatic Indexing used for automatic indexing, and with the effect and performance of these tech­ both high exhaustivity and specificity and hence a good retrieval performance.

Shallow indexing, on the other hand, is produced by using a few broad terms to. specificity in a vocabulary and an optimum level of exhaustivity in indexing, for a given collection.

Within the broad limits imposed by having sensible terms, i.e. ones which can be reached from requests and applied to documents, we may try to set up a vocabulary with the statistical properties which are hopefully optimal for Size: KB. One current theory of retrieval-based learning is the elaborative retrieval account, which proposes that semantic elaboration is the basis of retrieval practice effects (see Carpenter, ).

If children with higher reading comprehension scores are better at forming elaborations, then these children might show greater retrieval practice effects Cited by:   Five experiments investigated the encoding-retrieval match in recognition memory by manipulating read and generate conditions at study and at test.

Experiments 1A and 1B confirmed previous findings that reinstating encoding operations at test enhances recognition accuracy in a within-groups design but reduces recognition accuracy in a between-groups by: Information retrieval (IR) is the activity of obtaining information system resources that are relevant to an information need from a collection of those resources.

Searches can be based on full-text or other content-based indexing. Information retrieval is the science of searching for information in a document, searching for documents themselves, and also searching for the metadata that. particular care in labeling and indexing as well as equipment and programming to permit retrieval.

Read More; use by Pappus of Alexandria. In Pappus of Alexandria. Book 6 is a student’s guide to several texts, mostly from the time of Euclid, on mathematical astronomy.

Online edition (c) Cambridge UP Blocked sort-based indexing 69 Block sizes of 8, 16, 32, and 64 kilobytes (KB) are common. We call the part. 1. indexing and abstracting 1. 1 Information is an important element in every organization. The challenge can be how to keep such information in a manner so organized that it would be easy to retrieve at any time, retain its validity and be easy to understand.

How indexes affect performance. Carefully considered indexes, built on top of a good database design, are the foundation of a high-performance Adaptive Server installation. However, adding indexes without proper analysis can reduce the overall performance of your system.

database. Usually the retrieval performance of an image retrieval system is greatly influenced by different similarities or distance measures.

We have used Euclidean distance measures for similarity matching. Finally for retrieval of the images from the database Fast Indexing scheme for CBIR method is used.

the effect of indexing specificity on retrieval performance. a dissertation submitted to the faculty of the graduate library school. in candidacy for the degree of doctor of philosophy.

by elaine svenonius',_/ 1) chicago, illinois. march, c. In the last 30 years, since she wrote her Ph.D. dissertation on "The Effect of Indexing Specificity on Retrieval Performance," Svenonius has written what are now standard texts on cataloging and classification, and played a key role in many of the professional bodies and processes that have sought to harmonize and improve cataloging practices.

“The book presents a detailed review of the cutting-edge approaches in visual indexing and visual information retrieval. It provides recipes for a practitioner who is keen to implement these techniques. The book also carefully develops a way of building a multi-scale graph, based on the multisolution approach, to fasten the speed of the Cited by: 5.

Recall: This type of memory retrieval involves being able to access the information without being cued. Answering a question on a fill-in-the-blank test is a good example of recall.

Recollection: This type of memory retrieval involves reconstructing memory, often utilizing logical structures, partial memories, narratives or clues.

For example, writing an answer on an essay exam often involves. Encoding specificity manipulations do affect retrieval from memory. Zeelenberg R(1). Author information: (1)Department of Psychology, Erasmus Universiteit Rotterdam, Woudestein, J, P.O.

BoxDR Rotterdam, The Netherlands. [email protected] by: Thus, specificity at the time of indexing requires specificity at the time of retrieval. An indexing system may or may not allow entry under broader terms as well, but it will almost always require specific entry.

The present invention discloses a system and methods for retrieval of most relevant information from a given digital data repository.

This is done in the first step by verifying two conditions of relevance, presence of query words plus presence of at least one type of relationship between the words in the data record. Additionally a numeric relevance score is computed for each relevant record Cited by:   How does indexing speeds up the searches Can anyone explain what searches are speeded up by indexing the hard drive, is it those that are performed by windows namely the search function on the start menu, or are the search capabilities in other programs affected.

indexing that exist in the current information retrieval processes. The techniques being inverted files, suffix trees, and signature files will be critically described and discussed. The differences that occur in their use will be discussed.

The performance and stability of. Context Specificity of Latent Inhibition James F. Briggs, Timothy A. Toth, Brian P. Olson, and Jacob G. Lapierre Susquehanna University Previous studies have demonstrated that the transfer of retrieval cues for original acquisition memories, old ‗reactivated‘ memories, and extinction memories attenuated the context shift effect.

T1 - Individual differences in the effects of retrieval from long-term memory. AU - Brewer, Gene. AU - Unsworth, Nash. PY - /4/1. Y1 - /4/1. N2 - The current study examined individual differences in the effects of retrieval from long-term memory (i.e., the testing effect).Cited by: It is of some importance to be able to quantify the notions of indexing exhaustivity and specificity because of the predictable effect they have on retrieval effectiveness.

It has been recognised (Lancaster [21]) that a high level of exhaustivity of indexing leads to high recall* and low precision*. pages, under the heading "Meanings of Specificity," is a summary of the first chapter of Svenonius's doctoral dissertation, "The Effect of Indexing Specificity on Retrieval Performance" (University of Chicago, Graduate Library School), although it is not cited in the footnotes.

Introduction to Information Retrieval. This is the companion website for the following book. Christopher D. Manning, Prabhakar Raghavan and Hinrich Schütze, Introduction to Information Retrieval, Cambridge University Press.

You can order this book at CUP, at your local bookstore or on the best search term to use is the ISBN: Efficient Information Retrieval Using Indexing 1 Shweta J. Patil; 2 Dilip K. Budhwant [1][2] Department of Computer Science and Engineering, Jawaharlal Nehru Engineering College, Aurangabad, M.S, India.

Abstract - This paper introduces information retrieval using Hoot, including indexing and system architecture, compares. It is of some importance to be able to quantify the notions of indexing exhaustivity and specificity because of the predictable effect they have on retrieval effectiveness.

It has been recognized (Lancaster []) that a high level of exhaustivity of indexing leads to high recall* and low precision*. Information Retrieval Systems Saif Rababah 5 Lexical analysis Objective: Determine the words of the document. Lexical analysis separates the input alphabet into Word characters (e.g., the letters a-z) Word separators (e.g., space, newline, tab) The following decisions may have impact on retrieval Digits: Used to be ignored, but the trend now is to identify.

It is suggested that specificity should be interpreted statistically, as a function of term use rather than of term meaning. The effects on retrieval of variations in term specificity are examined, experiments with three test collections showing, in particular, that frequently-occurring terms .The effects on retrieval of variations in term specificity are examined.

Experiments with three test collections showed in particular that frequently-occurring terms are required for good overall performance. (10 references) (Author/NH)Cited by: Multimedia Information Retrieval and Management: Technological Fundamentals and Applications (Signals and Communication Technology) [Feng, David, Siu, W.C., Zhang, Hong Jiang] on *FREE* shipping on qualifying offers.

Multimedia Information Retrieval and Management: Technological Fundamentals and Applications (Signals and Communication Technology)Author: David Feng.