# Explore-exploit dilemma in Ranking model

DevFeed: [Explore-exploit dilemma in Ranking model](<https://devfeed.tech/articles/explore-exploit-dilemma-in-ranking-model-28029.md>)

Original publisher: [Read original article](<https://tech.trivago.com/post/2022-11-04-explore-exploit-dilemma-in-ranking-model/>)

Author: Aida Orujova Data Scientist

Published: 2022-11-04T00:00:00Z

Content type: article

Language: en

Sources: [Trivago](<https://devfeed.tech/sources/trivago.md>)

Topics: [recommendation systems](<https://devfeed.tech/topics/recommendation-systems.md>), [Algorithms](<https://devfeed.tech/topics/algorithms.md>), [Data Science](<https://devfeed.tech/topics/data-science.md>)

Tags: [algorithm](<https://devfeed.tech/tags/algorithm.md>), [conversion](<https://devfeed.tech/tags/conversion.md>), [data](<https://devfeed.tech/tags/data.md>), [data-science](<https://devfeed.tech/tags/data-science.md>), [explore](<https://devfeed.tech/tags/explore.md>), [machine-learning](<https://devfeed.tech/tags/machine-learning.md>), [ranking](<https://devfeed.tech/tags/ranking.md>)

## AI overview

The article explains the explore-exploit dilemma in trivago's accommodation ranking model. It describes balancing historically strong-performing accommodations with previously unseen inventory to improve relevance and discover higher-potential options, using the multi-armed bandit problem as a framing.

## Source excerpt

Imagine, out of thousands of accommodations that match a user search, you have to select the "best" 25 to show to the user. Which ones would you show- the ones you know perform well or ones that...