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How Schibsted uses artificial intelligence

Schibsted is exploring artificial intelligence – AI – for an increasing number of products and services. In a recent webinar, we gave viewers a sneak peek into our AI operations and shared our thoughts on the ethical dilemmas that accompany these technologies.

How Schibsted uses machine learning to recommend content

A new profession is playing an important role in how content will be presented on Schibsted´s news sites: Data scientists. Meet the machine learning team!

Lookalikes: Finding needles in a haystack

At Schibsted, we use data science to build models that aggregate user behaviors and preferences. Advertisers can combine these to allocate users in groups, known as targeting segments.

BigData SQL Query Engine benchmark

Servers

In the era of BigData, where the volume of information we manage is so huge that it doesn’t fit into a relational database, many solutions have appeared. Hadoop, Spark, NoSQL are great tools for a purpose, but they don’t fit 100% of the audience.

Comparing three solutions for estimating population sizes

cup cakes

In an earlier post we discussed a service to estimate the number of unique visitors to a website. In this article we explore the algorithms we used to build the system: HLL (HyperLogLog) and KMV (Kth Minimal Value) and evaluate each.

Growing News Subscriptions with Data Analytics

How we used Machine Learning to increase telemarketing conversion rates by 540%.

DataSketches: The secret sauce behind population estimation

We built a service to estimate the number of website visitors reached by new audience segments in real time, for queries with any combination of user attributes. Here’s how we did it. By Manuel Weiss, with help from the ATE team Audience targeting and segments Schibsted’s Audience Targeting Engine (ATE)

Translating words into vectors

Matching a job description with a candidate’s experience is not an easy task, even for humans.

How is Deep Learning Changing Data Science Paradigms?

Deep learning is changing everything – and it’s here to stay. Just as electronics and computers transformed all economic activities, artificial intelligence will reshape retailing, transport, manufacturing, medicine, telecommunications, heavy industry…even data science itself. And that list of applications is still growing, as is the list of complex tasks where

PulseMonitor – data quality as a first class citizen

Using awareness to ensure good data quality.

Price your car with data

What’s the most important thing for sellers on a marketplace? Setting a good price. We take a look at the dynamics of pricing and how Schibsted can help users set prices for cars.

Your Life in Classifieds: Predicting Age from Marketplace Data

Your age can be accurately predicted from your behavior on classified sites. Here’s how…