AI Meetup Paris: Recommendation Engines

This time the 26th AI Meetup Paris partnership with Contentsquare event raised the topic of recommendation engines. For further explanations and details of the event you can watch the recording here.

Sharone Dayan, Machine Learning Engineer from Contentsquare, as the host of the event and for our panel of experts: 

  • Ivan Monnier, Chief Technical Office at Qwam Content Intelligence
  • Armelle Patault, Head of Data Science at ManoMano
  • Adib Baziz, Data Scientist and ML Engineer at CircleCI 

Sharone Dayan, Machine Learning Engineer from Contentsquare

Contentsquare produces digital experience analytics platform for supporting the client’s decision making. They use AI and machine learning to better understand users attributes, infer on their intents and feelings. Additionally, they use it to produce impactful smart segments of population to recommend products to display. 

Ivan Monnier, Chief Technical Officer at Qwam Content Intelligence

Qwam Content Intelligence is a software provider specialised in natural language processing. They take the data and use their solution to add dimensions to the text in order to explore it and  provide value-added information. They use AI and recommendation systems for press content (historical activity), recommending websites and for business content (catalogs, push content, etc).

Armelle Patault, Head of Data Science at ManoMano

ManoMano is a European leader of DIY gardening and home improvement commerce. They use AI and recommendation systems on their e-commerce page for two types of situations: first to help the users find the product they are specifically looking for and secondly to cross sell recommendation products related to their initial search. 

Adib Baziz, Data Scientist and ML Engineer at CircleCI

CircleCI is a leader in Cloud CI/CD that provides compute time to the users. They use AI and recommendation systems to help developers design and write their unit tests. They designed a pipeline that reads the source code of the users using a CLI tool or VSCode extension so they can provide meaningful and useful test cases that the user can accept so that they can speed up the process of writing tests and end up having better written software. 

This was a condensed version of the recommendation engines presentation from our recent AI Meetup Paris. Join our future AI Meetup Paris events by joining the AI community here.

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