PLN

PLN

I speak about topics I love

    • Visual recommendations: the Good, the Bad, and the Ugly

      What makes a recommendation stand out? Are all use-cases a good fit for visual recs? In this talk, Paul-Louis walks us through several real-life examples using LookingSimilar to provide visual recommendations to various kinds of users, teaching what kind of use-cases would benefit most from Image Recommendations, and how to adapt your data to make the most of it!
      at Algolia DevBit, Spring 2024
    • ECIR23: Building a Business-Aware Image Retrieval API

      In 2023, users expect to be understood across various interaction modes. From YouTube transcript search to Pinterest image match, they are used to search interfaces understanding different modalities beyond pure text. In this talk, I share learnings building an image recommendation API for various business needs, showing how you can leverage powerful computer vision models to serve different goals by packaging it into a flexible API and deploying it to a global audience.
      at ECIR conference organized by the British Computer Society
    • How to successfully drive a machine learning project ?

      Table ronde sur ce qui rend les projets de Machine Learning particuliers : comment la gestion de projet peut s'adapter à la recherche expérimentale, comment parler aux autres acteurs du projet, et comment faire monter en compétence nos collègues.
      at AI Meetup organised by Ekimetrics
    • Developer Experience for Machine Learning Engineers

      In a Machine Learning product or API, what makes a good Developer Experience? With Anil, we discuss the ingredients of a great ML product; what makes or breaks developer productivity; and how to stay on top of this constantly-evolving field.
      at Anil Kumar Krishnashetty's Podcast
    • Craft a Discovery Experience in 30mn with Recommend models

      Demo: see how you can create a full content discovery experience, powered by ML Recommendation models, without being a front-end expert.
      at Algolia DevCon 2022
    • Entre Devs S01E02: Y'a le bon développeur et le mauvais développeur

      Comment parler de notre travail à nos proches ? Les entreprises ont-elle le devoir et la légitimité de changer la société ? Les formations préparent-elles correctement les jeunes développeuses et développeurs ? La maintenance du code, on en parle ? Et la philosophie dans tout ça ?
      at Podcast `Entre Devs`
    • Serving Humans? Ethics and Politics of Technological Design

      In our era of services, *who* is being served by technologies?
      at Humanities After Humans: Our Extended Bodies, Ourselves organised by Université de Lorraine, INHA, UCP
    • Coopérer avec d'autres métiers

      Retour d'expérience sur l'iGEM et la coopération entre ingénieurs, biologistes, et designers.
      at Remise de diplômes 2020 du Master BioInfo Rennes1 organised by Université Rennes1
    • Having a Voice on Mobile: How hard can it be?

      Many mobile apps add voice commands. When does it actually help?
      at Droidcon London 2019
    • Roundtable: Creating Voice Experiences That Win Hearts & Minds

      Learn how to design voice experiences that are not just functionally intelligent, but also emotionally intelligent.
      at Voice Summit 19, Newark [NJ], United States
    • Workshop | The Challenges of Conversational Search

      Introduction to using Algolia APIs to power your voice experience, with a focus on fast prototyping.
      at TalkToMe! Berlin Hackathon
    • A tale of two APIs

      How leveraging two APIs (DialogFlow and Algolia) allows to transform a JSON file describing a couple hundreds songs into an interactive, conversational experience.
      at ParisAPI#31
    • The Musicologist, or Search as a Conversation

      How NLP APIs and modern mobile ecosystems let us build search experiences as natural language conversations.
      at ParisNLP Meetup
    • Build search on any platform

      at Zenika Nightclazz
    • Mobile Search Patterns

      at 4 Years From Now organised by Mobile World Congress