Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    data analytics and truck accident claims
    How Data Analytics Reduces Truck Accidents and Speeds Up Claims
    7 Min Read
    predictive analytics for interior designers
    Interior Designers Boost Profits with Predictive Analytics
    8 Min Read
    image fx (67)
    Improving LinkedIn Ad Strategies with Data Analytics
    9 Min Read
    big data and remote work
    Data Helps Speech-Language Pathologists Deliver Better Results
    6 Min Read
    data driven insights
    How Data-Driven Insights Are Addressing Gaps in Patient Communication and Equity
    8 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Curt Monash Analyzes the Text Analytics Market
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Uncategorized > Curt Monash Analyzes the Text Analytics Market
Uncategorized

Curt Monash Analyzes the Text Analytics Market

Daniel Tunkelang
Daniel Tunkelang
4 Min Read
SHARE

Curt Monash recently shared his views of the text analytics market through his blog and a slide presentation that he’s made available online. The presentation is refreshingly hype-free, and I recommend you take a look.

His observations about the web search market are spot-on: the current attention is on transactional queries (see Andrei Broder’s classic paper on the taxonomy of web search for an explanation of navigational, informational, and tra…

Curt Monash recently shared his views of the text analytics market through his blog and a slide presentation that he’s made available online. The presentation is refreshingly hype-free, and I recommend you take a look.

More Read

The Ethics of Blogging
Google Buzz: Email is social Web–and getting more so
saP or saS or sasR or saaS
Steve Jobs 1955-2011: The Most Famous Maestro of the Micro
Selling to enterprises

His observations about the web search market are spot-on: the current attention is on transactional queries (see Andrei Broder’s classic paper on the taxonomy of web search for an explanation of navigational, informational, and transactional queries), and web search generally is dominated by the dynamics of adversarial information retrieval. Depressing (to me, at least), but accurate. He does see potential future with better interfaces, but he asks, “how good does the technology have to get before people care?” My sentiments exactly.

On to the enterprise market, which is more interesting. Here it’s harder to summarize Monash’s thoughts, except to say that he sees the current landscape of enterprise search offerings as hopelessly confused.

Monash divides the enterprise market into public-facing site search, which he further divides between e-commerce and “general”; and “true” enterprise search which seems to mostly denote intranet search; and custom publishing. While I’m not entirely comfortable with his taxonomy of the space, I do give him credit for laying one out.

He then goes on to explain how “one-size-fits-all” approaches have failed and how the enterprise search market landscape is “bollixed”. He lists a number of technical challenges, all of which I agree with.

But I’d add one: the need for content enrichment techniques and interfaces that support interaction, exploration, and discovery. Yes, we’ve seen these as buzzwords in vendor hype, but that doesn’t make them any less real. There’s been too much emphasis on best-first, known-item search, and not enough on the other use cases that comprise enterprise search and information access.

I think that exploratory search will eventually be important for web search too, but the complacency with current approaches kills any sense of urgency. There is no imminent threat to Google’s reign.

In the enterprise search market, however, there is a justified dissatisfaction with the status quo. And, in my belief and experience, that is because too many people (vendors and enterprises) are trying to treat the enterprise like a microcosm of the web, where the only major differences are the connectors to acquire content and the ranking algorithm to sort results. Getting these right is necessary but not sufficient. Interaction, exploration, and discovery–in short, HCIR–are not just nice-to-have features, but rather are essential to making search work in the enterprise.

Link to original post

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

data analytics and truck accident claims
How Data Analytics Reduces Truck Accidents and Speeds Up Claims
Analytics Big Data Exclusive
predictive analytics for interior designers
Interior Designers Boost Profits with Predictive Analytics
Analytics Exclusive Predictive Analytics
big data and cybercrime
Stopping Lateral Movement in a Data-Heavy, Edge-First World
Big Data Exclusive
AI and data mining
What the Rise of AI Web Scrapers Means for Data Teams
Artificial Intelligence Big Data Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Image
Uncategorized

Genes: Big Data Gets Personal on Individual Health

4 Min Read

Use BI to say BYE to the recession

2 Min Read

Does Your Research Company Look Like a Scam?

4 Min Read

Oracle Must Pivot to Business Applications

15 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

AI and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive
ai is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?