Data Science Bites

Digests of new papers in the data science literature

A shopping trolley being pushed around a supermarket. Photo by Marjan Blan | @marjanblan on Unsplash.

Using ‘basket complementarity’ to make product recommendations

Market basket analysis
Recommendation systems
Complementarity
Purchase suggestions – e.g., “if you are buying that, you might also want this” – are, to a large extent, informed by the concept of complementarity: that certain products are often bought and/or used together. A journal paper by Puka and Jedrusik sheds light on how these product recommendations can be derived, as Moinak Bhaduri explains.
Mar 2, 2023
Moinak Bhaduri

A researcher in a field shines a light on stylised waves of noise, as if attempting to identify or extract a signal. Image generated by DALL.E 2 from prompts provided by Real World Data Science.

Pulling patterns out of data with a graph

Data management
Dimension reduction
Graph theory
Large volumes of data are pouring in every day from scientific experiments, so much so that it is now commonplace to perform dimension reduction in order to reduce a large number of measurements to a set of key values that are easier to visualize and interpret. Enter ‘The Sequencer’, a proposed method to find trends within high-dimensional datasets.
Jan 24, 2023
Andrew Saydjari

Photo taken from the backseat of a Lyft vehicle. Driver is seen in profile to the left of the picture. Phone is mounted on the dash and displays a maps app that is tracking the route to the passenger's destination. Photo by Paul Hanaoka on Unsplash.

Determining the best way to route drivers for ridesharing via reinforcement learning

A/B testing
Reinforcement learning
Statistics
A/B testing is often used to evaluate the impact of design ‘treatments’ — for example, are people who see advert A more likely to buy something than those who see advert B? Classical methods typically assume that changing one person’s treatment will not affect others, but what if that’s not the case? A paper by Shi et al. aims to address this problem.
Dec 13, 2022
Brian King
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