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
    How Data Analytics Is Reshaping Patient Financing Decisions
    How Data Analytics Is Reshaping Patient Financing Decisions
    13 Min Read
    business using business intelligence
    How to Use a Competitive Intelligence Dashboard to Turn Market Data Into Smarter Marketing Decisions 
    9 Min Read
    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
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Micro vs. Macro Information Retrieval
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 > Micro vs. Macro Information Retrieval
Data Mining

Micro vs. Macro Information Retrieval

Daniel Tunkelang
Daniel Tunkelang
5 Min Read
SHARE

The Probably Irrelevant blog has been quiet for a while, but I was happy to see a new post there by Miles Efron about “micro-IR.” He characterizes micro-IR, as distinct from macro or general IR, as follows:

  1. In ad hoc (text) IR a principal intellectual challenge lies in modeling ‘aboutness.’ In micro-IR settings, the creativity comes into play in posing a useful (and tractable) question to answer. The engineering comes easily after that.
  2. The constrained nature of micro-IR applications leads to a lightweight articulation of information need. There is a tight coupling here between task, query, and the unit of retrieval, a dynamic that I think is compelling. Pushing this a bit farther, we might consider the simple act of choosing to use a particular application from those apps on a user’s palette as part of the information need expression.
  3. The tight coupling of task to data to ‘query’ enables a strong contextual element to inform the interaction. Context constitutes the foreground of the micro-IR interaction.

He then asks: “is micro-IR something at all? Is it actually related to IR?” Fernando Diaz answers that “the only difference between micro and macro IR is text.” Jinyoung …

The Probably Irrelevant blog has been quiet for a while, but I was happy to see a new post there by Miles Efron about “micro-IR.” He characterizes micro-IR, as distinct from macro or general IR, as follows:

More Read

A Particularly Snarky Interview with Joe Celko
How Big Data Will Change People Management Forever
Tips for Change Leaders – How to Show Your Impact
BI Meets Machine Learning and the Internet of Me
Analyzing Healthcare in Sweden
  1. In ad hoc (text) IR a principal intellectual challenge lies in modeling ‘aboutness.’ In micro-IR settings, the creativity comes into play in posing a useful (and tractable) question to answer. The engineering comes easily after that.
  2. The constrained nature of micro-IR applications leads to a lightweight articulation of information need. There is a tight coupling here between task, query, and the unit of retrieval, a dynamic that I think is compelling. Pushing this a bit farther, we might consider the simple act of choosing to use a particular application from those apps on a user’s palette as part of the information need expression.
  3. The tight coupling of task to data to ‘query’ enables a strong contextual element to inform the interaction. Context constitutes the foreground of the micro-IR interaction.

He then asks: “is micro-IR something at all? Is it actually related to IR?” Fernando Diaz answers that “the only difference between micro and macro IR is text.” Jinyoung Kim adds that in micro-IR “the context (searcher goal) is known, with domain-specific notion of relevance (goodness) and similarity measures.”

I hadn’t thought of making this particular distinction, but I like it. While I prefer to think about distinguishing the needs of information seekers – rather than the characteristics of search applications – I would be the first to argue that a well-designed search application caters to particular user needs. Indeed, I think the definition of a good micro-IR application implies that it addresses a highly constrained space of information needs. Just as importantly, micro-IR applications can often assume that their users are highly familiar with the information space the applications address, and thus that those users need less of the basic orienteering support that can be critical for success using macro-IR systems. That said, micro-IR users have (or should have) higher expectations of support for more sophisticated information seeking.

The other day, I speculated about why Google holds back on faceted search. I feel that the distinction between macro- and micro-IR is in the same vein: micro-IR settings (e.g., site search, enterprise search,vertical search) drive needs for more richer interfaces and support for interaction, while macro-IR application developers (e.g., general web search) worry mostly about producing a reasonable answer for the query–and often lead users to micro-IR destinations that offer their own support for information seeking within their constrained domains.

In short, it’s a nice way to think about the IR application space, and it’s increasingly relevant (no pun intended!) as we see a proliferation of micro-IR applications. And it’s great to see activity on the Probably Irrelevant blog after all these months of radio silence!

Link to original post

TAGGED:googleinformation retrieval
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

How Data Analytics Is Reshaping Patient Financing Decisions
How Data Analytics Is Reshaping Patient Financing Decisions
Analytics Big Data Exclusive
AI driven big data company
How AI-Driven Workflows Are Changing the Way Companies Think About Data Risk
Artificial Intelligence Data Management Exclusive Risk Management
ai product development
Why Businesses Outsource AI Product Development Companies
Exclusive News
banking tools
The Fintech and Banking Tools Global Entrepreneurs Rely On
Fintech Infographic

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Google+ Is Like 401K For Search

2 Min Read

Chrome Experiments: Online Data Visualization

2 Min Read

How Google’s new “answer” machine could rock Web business

2 Min Read

Even Google Should Beware Of Hubris

4 Min Read

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

data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data
giveaway chatbots
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive

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?