Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
BizML: Bridging the Gap Between Data Science and Business
  Eric Siegel, author of The AI Playbook, was...
The AI Hype Cycle Is Distracting Companies
 Originally published in Harvard Business Review. Machine learning has...
HR Analytics: Measuring Acquisition, Retention & Satisfaction
 Your firm is growing rapidly, and to maintain pace,...
To Avoid Wasting Money on Artificial Intelligence, Business Leaders Need More AI Acumen
 Originally published in Analytics Magazine, July 19, 2023. Business...
SHARE THIS:

11 months ago
How Pinterest Leverages Realtime User Actions in Recommendation to Boost Homefeed Engagement Volume

 
Originally published in Pinterest Engineering Blog, Nov 4, 2022. 

In this blog post, we will demonstrate how we improved Pinterest Homefeed engagement volume from a machine learning model design perspective — by leveraging realtime user action features in Homefeed recommender system.

Background

The Homepage of Pinterest is the one of most important surfaces for pinners to discover inspirational ideas and contributes to a large fraction of overall user engagement. The pins shown in the top positions on the Homefeed need to be personalized to create an engaging pinner experience. We retrieve a small fraction of the large volume of pins created on Pinterest as Homefeed candidate pins, according to user interest, followed boards, etc. To present the most relevant content to pinners, we then use a Homefeed ranking model (aka Pinnability model) to rank the retrieved candidates by accurately predicting their personalized relevance to given users. Therefore, the Homefeed ranking model plays an important role in improving pinner experience. Pinnability is a state-of-the-art neural network model that consumes pin signals, user signals, context signals, etc. and predicts user action given a pin. The high level architecture is shown in Figure 3.

To continue reading this article, click here.

2 thoughts on “How Pinterest Leverages Realtime User Actions in Recommendation to Boost Homefeed Engagement Volume

Leave a Reply