By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData Collective
  • Analytics
    AnalyticsShow More
    data analytics in sports industry
    Here’s How Data Analytics In Sports Is Changing The Game
    6 Min Read
    data analytics on nursing career
    Advances in Data Analytics Are Rapidly Transforming Nursing
    8 Min Read
    data analytics reveals the benefits of MBA
    Data Analytics Technology Proves Benefits of an MBA
    9 Min Read
    data-driven image seo
    Data Analytics Helps Marketers Substantially Boost Image SEO
    8 Min Read
    construction analytics
    5 Benefits of Analytics to Manage Commercial Construction
    5 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-23 SmartData Collective. All Rights Reserved.
Reading: How Recommendation Engines Quash Diversity
Share
Notification Show More
Latest News
data analytics in sports industry
Here’s How Data Analytics In Sports Is Changing The Game
Big Data
data analytics on nursing career
Advances in Data Analytics Are Rapidly Transforming Nursing
Analytics
data analytics reveals the benefits of MBA
Data Analytics Technology Proves Benefits of an MBA
Analytics
anti-spoofing tips
Anti-Spoofing is Crucial for Data-Driven Businesses
Security
ai in software development
3 AI-Based Strategies to Develop Software in Uncertain Times
Software
Aa
SmartData Collective
Aa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Uncategorized > How Recommendation Engines Quash Diversity
Uncategorized

How Recommendation Engines Quash Diversity

Daniel Tunkelang
Last updated: 2009/02/25 at 3:10 AM
Daniel Tunkelang
2 Min Read
SHARE
- Advertisement -

As regular readers here know, I have strong opinions about how recommendation engines should work. So does Daniel Lemire, a regular reader who specifically argues in favor of diversity in recommender systems. Well, this post is for him and all who share his concern.
In “Does Everything Really Sound Like Coldplay?“, Vegard Sandvold explains:

When a lot […]

As regular readers here know, I have strong opinions about how recommendation engines should work. So does Daniel Lemire, a regular reader who specifically argues in favor of diversity in recommender systems. Well, this post is for him and all who share his concern.

More Read

big data improves

3 Ways Big Data Improves Leadership Within Companies

IT Is Not Analytics. Here’s Why.
Romney Invokes Analytics in Rebuke of Trump
WEF Davos 2016: Top 100 CEO bloggers
In Memoriam: Robin Fray Carey

In “Does Everything Really Sound Like Coldplay?“, Vegard Sandvold explains:

When a lot of people (who may otherwise have very diverse tastes in music) listen to Coldplay, Coldplay becomes very well connected with a lot of other artists, and also becomes a hub in what is known as a small-world network. Such networks are the basis for social recommendations. Oscar shows that these hubs are indeed the most popular artists, who again gets recommended more often than others. That is why all roads lead to Radiohead.

The cited Oscar is Oscar Celma, who recently defended his PhD thesis on “Music Recommendation and Discovery In The Long Tail”. I’ve only had a chance to skim the abstract, but I’m optimistic that people are giving more thought to the limitations of current recommendation systems. Of course, I’d really like it if they embraced transparency and exploration. But emphasizing diversity is certainly a worthy endeavor.

Or maybe  everything really does sound like Coldplay…

Link to original post

Daniel Tunkelang February 25, 2009
Share this Article
Facebook Twitter Pinterest LinkedIn
Share
- Advertisement -

Follow us on Facebook

Latest News

data analytics in sports industry
Here’s How Data Analytics In Sports Is Changing The Game
Big Data
data analytics on nursing career
Advances in Data Analytics Are Rapidly Transforming Nursing
Analytics
data analytics reveals the benefits of MBA
Data Analytics Technology Proves Benefits of an MBA
Analytics
anti-spoofing tips
Anti-Spoofing is Crucial for Data-Driven Businesses
Security

Stay Connected

1.2k Followers Like
33.7k Followers Follow
222 Followers Pin

You Might also Like

big data improves
Big DataJobsKnowledge ManagementUncategorized

3 Ways Big Data Improves Leadership Within Companies

6 Min Read
Image
Uncategorized

IT Is Not Analytics. Here’s Why.

7 Min Read

Romney Invokes Analytics in Rebuke of Trump

4 Min Read

WEF Davos 2016: Top 100 CEO bloggers

14 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

© 2008-23 SmartData Collective. All Rights Reserved.

Removed from reading list

Undo
Go to mobile version
Welcome Back!

Sign in to your account

Lost your password?