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
    unusual trading activity
    Signal Or Noise? A Decision Tree For Evaluating Unusual Trading Activity
    3 Min Read
    software developer using ai
    How Data Analytics Helps Developers Deliver Better Tech Services
    8 Min Read
    ai for stock trading
    Can Data Analytics Help Investors Outperform Warren Buffett
    9 Min Read
    media monitoring
    Signals In The Noise: Using Media Monitoring To Manage Negative Publicity
    5 Min Read
    data analytics
    How Data Analytics Can Help You Construct A Financial Weather Map
    4 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Who Wants To Play “Jeopardy”?
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Data Mining > Who Wants To Play “Jeopardy”?
Data MiningPredictive Analytics

Who Wants To Play “Jeopardy”?

Daniel Tunkelang
Daniel Tunkelang
4 Min Read
SHARE

That would be IBM Research, for millions of dollars (I suspect). I’ve known about the Jeopardy project for a while from colleagues at IBM, and I’m glad I can finally talk about it publicly, now that it’s been reported in the New York Times.

It’s a great challenge, and I hope IBM can rally around it the way it did for chess. But I’d love to see information retrieval researchers consider a related problem–namely, looking at the results for a query and trying to reverse engineer the query from that set (i.e., without cheating and looking at the query). In order words, I want search engines to do what we as humans do naturally. When I’m not sure I understand you, I repeat back what I think you said, in words I’m sure I understand and that I believe you’ll understand too. It’s a great way to clarify misunderstandings and to make sure we end up on the same page.

This clarification dialogue is a key part of the HCIR vision: establishing shared understanding between the user and the system. And it bears a striking resemblance to the game of Jeopardy. When a user receives results in response to a query, those results should feel …

More Read

The latest ACM SIGKDD Explorations Newsletter is out. Focus on open source analytics and PMML
Standardizing Data Migration
Christmas 2011: a Great Example of Smarter Commerce in Action
IBM Will Take Varicent for Sales Performance Management
Why PC’s still suck

That would be IBM Research, for millions of dollars (I suspect). I’ve known about the Jeopardy project for a while from colleagues at IBM, and I’m glad I can finally talk about it publicly, now that it’s been reported in the New York Times.

It’s a great challenge, and I hope IBM can rally around it the way it did for chess. But I’d love to see information retrieval researchers consider a related problem–namely, looking at the results for a query and trying to reverse engineer the query from that set (i.e., without cheating and looking at the query). In order words, I want search engines to do what we as humans do naturally. When I’m not sure I understand you, I repeat back what I think you said, in words I’m sure I understand and that I believe you’ll understand too. It’s a great way to clarify misunderstandings and to make sure we end up on the same page.

This clarification dialogue is a key part of the HCIR vision: establishing shared understanding between the user and the system. And it bears a striking resemblance to the game of Jeopardy. When a user receives results in response to a query, those results should feel like an easy Jeopardy “answer”, for which the “question” jumps out as being compatible with the user’s information need. If that is not the case, then something has broken down in the communication, and the system should work with the user to resolve the breakdown.

I realize that HCIR isn’t quite as sexy as question answering (or is this answer questioning?) and certainly doesn’t have its own household-name game show. Then again, I never imagined that prospect theory and the prisoner’s dilemma would get their own game shows. A researcher can hope!

Link to original post

TAGGED:ibmjeopardysearch
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

business recovering from data loss
How Data-Driven Businesses Protect MySQL Databases from Shutdown
Big Data Exclusive
ai driven task management
Reducing “Work About Work” with AI Task Managers
Artificial Intelligence Exclusive
data center uptime
Why Rodent-Resistant Conduits Are Critical for Data Center Uptime
Big Data Data Management Exclusive Risk Management
big data and AI
The Intersection of Big Data and AI in Project Management
Artificial Intelligence Big Data Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Watson Analytics: The Data Scientist Accelerator

10 Min Read

Reference vs. Referral

4 Min Read

IBM: Numerati paradise

5 Min Read

Gartner’s 2009Q1 Magic Quadrant for BI Platforms

5 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 in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence
ai chatbot
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots

Quick Link

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

Sign in to your account

Username or Email Address
Password

Lost your password?