Marko Hurst

Marko Hurst

New York City Metropolitan Area
5K followers 500+ connections

About

Marko is a NYC-based entrepreneur, business management consultant, data scientist and…

Contributions

Activity

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Experience

  • Adobe Graphic

    Adobe

    New York City Metropolitan Area

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    New York City Metropolitan Area

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    New York City Metropolitan Area

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    Los Angeles Metropolitan Area

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    Orlando, Florida, United States

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    Philadelphia, Pennsylvania, United States

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    United States

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    Greater New York City Area

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    Greater New York City Area

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    Greater New York City Area

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    Greater Los Angeles Area

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    Greater New York City Area

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    Greater New York City Area

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    Greater New York City Area

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    Greater New York City Area

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    Greater New York City Area

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    Greater New York City Area

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    Greater New York City Area

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    Greater New York City Area

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    Greater New York City Area

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    Greater New York City Area

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    Greater New York City Area

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    Greater New York City Area

Education

Volunteer Experience

  • Teach For America Graphic

    Solr Search Engine Analyst

    Teach For America

    - 4 months

    Education

    Search Engine strategy, structure and results optimization.

Publications

  • Search Analytics For Your Site : Conversations with Your Customers

    Rosenfeld Media

    Primary contributing author and resource with Lou Rosenfeld. I have written and referenced material throughout the book, while my primary writing sections are based upon other published works from the "Journal of Digital Asset Management", (see below).

    Summary:
    Any organization that has a searchable web site or intranet is sitting on top of hugely valuable and usually under-exploited data: logs that capture what users are searching for, how often each query was searched, and how many…

    Primary contributing author and resource with Lou Rosenfeld. I have written and referenced material throughout the book, while my primary writing sections are based upon other published works from the "Journal of Digital Asset Management", (see below).

    Summary:
    Any organization that has a searchable web site or intranet is sitting on top of hugely valuable and usually under-exploited data: logs that capture what users are searching for, how often each query was searched, and how many results each query retrieved. Search queries are gold: they are real data that show us exactly what users are searching for in their own words. This book shows you how to use search analytics to carry on a conversation with your customers: listen to and understand their needs, and improve your content, navigation and search performance to meet those needs.

    Other authors
    See publication
  • Search ROI's missing element: Search analytics

    Journal of Digital Asset Management

    Many organizations have been and are still trying how to prove Return On Investment (ROI) for their DAM system. This commonly and often only includes employee/customer efficiency and financial hard and soft ROI, which are beneficial, but not enough and often hard to prove as well. What is missing is ROI at the strategic level that can be used to optimize and continually improve upon your ROI. That missing strategic element is Search Analytics. Search Analytics is a methodology and the process…

    Many organizations have been and are still trying how to prove Return On Investment (ROI) for their DAM system. This commonly and often only includes employee/customer efficiency and financial hard and soft ROI, which are beneficial, but not enough and often hard to prove as well. What is missing is ROI at the strategic level that can be used to optimize and continually improve upon your ROI. That missing strategic element is Search Analytics. Search Analytics is a methodology and the process of analyzing search queries and user behavior within an information retrieval/search system in order to determine the search quality and relevancy of your search system and produce actionable results that can be acted upon.

    See publication
  • Search relevancy got you down? Learn how to use metadata to lift your results (and your mood)

    Journal of Digital Asset Management

    When it comes to search an information retrieval system within Digital Asset Management (DAM) systems, the burden is often placed on the users who are expected to solve the problem of irrelevant search results. Why? The biggest contributor to this problem is simply an overreliance on algorithms alone to deliver relevant results, when it's a human linguistic issue. Machine-understandable information, semantic, algorithms will not be advanced enough for many years, if ever, to properly understand…

    When it comes to search an information retrieval system within Digital Asset Management (DAM) systems, the burden is often placed on the users who are expected to solve the problem of irrelevant search results. Why? The biggest contributor to this problem is simply an overreliance on algorithms alone to deliver relevant results, when it's a human linguistic issue. Machine-understandable information, semantic, algorithms will not be advanced enough for many years, if ever, to properly understand and interpret the nuances of ‘natural language’. To deliver the most relevant results possible today you need more than algorithms, you a human understanding of language. You need someone who understands content modeling and structure, your audience's natural language, and your business vernacular in the form of metadata: taxonomies, ontologies and metadata schemas. To compound the issue of delivering relevant results further, there is an industry wide lack of knowledge and or practice of measuring the quality of search results, that is search analytics. Search analytics provides a quantifiable way to measure the relevancy of search results, as well as inform how well or poor the design and overall user experience are performing against your business objectives.

    See publication

Honors & Awards

  • 2013 Intranet Design Annual - Winner

    Nielsen & Norman

    Client :: XL Group, an insurance and reinsurance company servicing industrial, commercial, and professional firms throughout the world (Ireland).

    I developed a faceted taxonomy (metadata content structure within SharePoint 2013 & FAST search engine) that is the backbone for all content delivery, personalization, search & relationships of the entire delivered "serendipitous" experience.

    I actively contributed, managed and oversaw overall all Content Strategy activities: research /…

    Client :: XL Group, an insurance and reinsurance company servicing industrial, commercial, and professional firms throughout the world (Ireland).

    I developed a faceted taxonomy (metadata content structure within SharePoint 2013 & FAST search engine) that is the backbone for all content delivery, personalization, search & relationships of the entire delivered "serendipitous" experience.

    I actively contributed, managed and oversaw overall all Content Strategy activities: research / discovery, content migration, publishing workflow, content inventory / audit, metadata schema & governance model.

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