EBSCO Discovery Service Presented By: Shaji John Discovery - - PowerPoint PPT Presentation

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EBSCO Discovery Service Presented By: Shaji John Discovery - - PowerPoint PPT Presentation

EBSCO Discovery Service Presented By: Shaji John Discovery Innovations and FOLIO Africa, Southeast Asia, South Asia & South Korea | www.ebsco.com 1 AGENDA What is Discovery Service Features & Functionalities Client Lists


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EBSCO Discovery Service

Presented By: Shaji John Discovery Innovations and FOLIO Africa, Southeast Asia, South Asia & South Korea

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  • What is Discovery Service
  • Features & Functionalities
  • Client Lists
  • Customized Interfaces
  • Demonstration
  • Questions

AGENDA

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Discovery Service Adoption Worldwide

EBSCO Discovery Service (EDS) 8,246 installations Primo Central 1,529 installations Summon 697 installations

American Libraries May 1, 2015 [Marshall Breeding]

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Search Engines

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Empower Users

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Open Relevance Ranking

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Openness About Relevance Algorithm

  • EDS relevance details are open for all

customers, potential customers and content providers

  • Truly sophisticated relevance algorithms

are not easy to duplicate

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Relevance Ranking

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The first two results provide detailed information about how relevance ranking / value ranking works in EDS…

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Relevance Ranking: Quality & Openness

The system has the following priorities and has

no bias toward content from any provider:

  • 1. Match on subject headings

from controlled vocabularies 2. Match on article titles 3. Match on author keywords 4. Match on keywords within abstracts 5. Match on keywords within full text

Exact Matches: Exact matches are favored over partial matches – considering also the field in which those words appear (abstract vs. full text vs. title, etc.) Density: Matches across multiple metadata fields are favored for relevance scoring (more is better). The scoring influence of repeat terms within individual metadata fields is minimized.

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Relevance Ranking – Layered Calculations

  • Term freq / density, scaled fields calc

− Eg. Weights: Subjects: 15, Title: 10, Keyword: 5, Abstract: 2, Full Text: 1

  • Tie-breakers / customizers

− Date recency, article length, publication types (e.g. a peer-reviewed article > book review), etc

  • Exact match boost

− Score boosted an exact match in a specific field (e.g. Title, of a book)

  • Customer influence, preference

− Catalog and Institutional Repositories (IRs) − Raise or lower relevancy of your specific content

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Value Ranking: Quality & Openness

After conducting an

unprecedented number

  • f usability studies

with undergraduate students, graduate students, and faculty, the following additional emphases were put in place to improve the value of the results for the end user:

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Value Ranking: Quality & Openness

Recently published content is scored higher for relevance than older content

RECENCY

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Value Ranking: Quality & Openness

Certain document types are weighted higher than

  • thers for relevance scoring

For example, when the word “book”

  • r “review” is not searched,

there is a “bias” against book reviews,

so these don’t dominate results

DOCUMENT TYPE

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Value Ranking: Quality & Openness

Articles of a more substantial length have a heavier weighting

(e.g., a ¼ page article is considered

less valuable than a 4 page article)

LENGTH

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Problem: Missed Connections

TOPICAL QUERY

Subject Indexing in EDS adhd Attention-deficit hyperactivity disorder Attention deficit disorder with hyperactivity pheromones Ectohormones Allelochemicals Semiochemicals Allomones PET scan Positron Emission Tomography Tomography, Emission-Computed Emission Tomography gambling addiction Compulsive gambling Pathological Gambling

User queries and subject indexing not always aligned. Different vocabularies often use different terminology for the same concept.

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JNU Full Text Downloads has increased after implementation of Discovery

20000 40000 60000 80000 100000 120000 140000 160000 180000 2012 2013 2014 2015 2016 Projected JNU Usage

4696 Full Text 54164 Full Text 110955 Full Text 167880 Full Text 159435 Full Text

Updated 8th January 2017

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Content Relevance Configurability Interoperability Focus on Discovery tools and services

Key criteria for Discovery decision making

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VuFind Blacklight Koha UI LMS Partner UI EDS UI Custom App

EDS

“LMS”

Aleph, Symphony, Millennium

ERM

Ex Libris SFX, PQ SS360, EBSCO FTF

“Next-Gen”

ALMA, WMS, Intota, Kuali OLE, Sierra, Blue Cloud

Most Relevant Results Above the Fold Best User Experience Evaluation Criteria Backend Systems

Happy End Users Happy Subject and Reference Librarians

Front-end Discovery - EDS Learning Management System

(Moodle, etc.)

Happy Library Administrators

Best user experience, most choice.

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Thai EDS clients

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EDS Interface Customizations

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Result Page for ILI

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View Demo

MIT LIBRARY THEN

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MIT LIBRARY NOW

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IIM Bangalore

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IIM Calcutta

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With Library Site Embedded Search Box

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Demonstration

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No Obligation Free Trial

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Thank You

sjohn@ebsco.com +91 11 2619 8966 - 67

Shaji John Find out more information at:

http://www.ebscohost.com