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
    image fx (60)
    Data Analytics Driving the Modern E-commerce Warehouse
    13 Min Read
    big data analytics in transporation
    Turning Data Into Decisions: How Analytics Improves Transportation Strategy
    3 Min Read
    sales and data analytics
    How Data Analytics Improves Lead Management and Sales Results
    9 Min Read
    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
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Banging on Bing: A Bummer
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 > Banging on Bing: A Bummer
Data Mining

Banging on Bing: A Bummer

Daniel Tunkelang
Daniel Tunkelang
3 Min Read
SHARE

So, Bing is out early. Yes, an early release from Microsoft! And it’s snappy, attractive, and offers decent quality. If I needed to use Bing as my main search engine for the web (yes, readers, imagine a world without Google and Yahoo as search options), I’d survive.

But I can’t say I’d be thrilled. I’ve only had a short time to play with Bing, but I’m not overwhelmed. In fact, I’m quite disappointed, given their big talk about deliver a “decision engine,” I expected at least a little bit of innovation in the user experience. No such luck, The focus is still on the ranked list, and their ranking is, at least to my taste, perceptibly inferior to Google’s. I could live with that small difference if the interface offered real opportunities for interaction. But there isn’t anything new there. You can refine by result type (Web, Images, Videos, Shopping, News, Maps, Local, Travel), but search engines have been doing that for years…

More Read

Designing performance measurements to identify and reduce warranty waste
On the Government, Data, Cooperation, Crisis, and Opportunity
Apache Spark Use Cases
What are Advanced Segments in Google Analytics and Why Should You Use Them?
5 Key Takeaways for Businesses from Google I/O 2015

So, Bing is out early. Yes, an early release from Microsoft! And it’s snappy, attractive, and offers decent quality. If I needed to use Bing as my main search engine for the web (yes, readers, imagine a world without Google and Yahoo as search options), I’d survive.

But I can’t say I’d be thrilled. I’ve only had a short time to play with Bing, but I’m not overwhelmed. In fact, I’m quite disappointed, given their big talk about deliver a “decision engine,” I expected at least a little bit of innovation in the user experience. No such luck, The focus is still on the ranked list, and their ranking is, at least to my taste, perceptibly inferior to Google’s. I could live with that small difference if the interface offered real opportunities for interaction. But there isn’t anything new there. You can refine by result type (Web, Images, Videos, Shopping, News, Maps, Local, Travel), but search engines have been doing that for years.

The only novelty is “xRank,” which lets you “see who and what everyone’s searching for most.” It’s intriguing, but it seems half-baked, and I suspect that others are further ahead on crowd-sourcing relevance through the social stream.

I take no pleasure in throwing cold water on the queue of challengers that attempt to provide competition for Google in web search. Perhaps Bing is truly in beta, and will prove itself a more formidable challenger in the future. But it’s surely not there now.

Link to original post

TAGGED:bingdecision enginegooglemicrosoft
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

image fx (60)
How Finance & BI Teams Choose Accounting Software
Big Data Business Intelligence Exclusive
Why the AI Race Is Being Decided at the Dataset Level
Why the AI Race Is Being Decided at the Dataset Level
Artificial Intelligence Big Data Exclusive
image fx (60)
Data Analytics Driving the Modern E-commerce Warehouse
Analytics Big Data Exclusive
ai for building crypto banks
Building Your Own Crypto Bank with AI
Blockchain Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Week 1 at Google: Information Overload!

2 Min Read
big data for Microsoft dynamics
Big DataExclusive

Your Guide To Using Big Data For Microsoft Dynamics Projects

6 Min Read

Books! Books! Books!

5 Min Read
google nexus BI lesson
Uncategorized

4 Retail BI Lessons to Learn from Google’s Nexus Fail

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.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?