RecSys FR: 9th session

Save the date.

The next RecsysFR session will be held on September 27th at 19:00 (until 21:00).

The meetup will be hosted by Fifty-Five. We'll start with an introduction word by Fifty-Five, and Romain Warlop will give a talk (title to be determined).

# Speakers

Multi Task DPP for Basket Completion by Romain WARLOP, Fifty Five

Determinantal point processes (DPPs) have received significant attention in the recent years as an elegant model for a variety of machine learning tasks, due to their ability to elegantly model set diversity and item quality or popularity. Recent work has shown that DPPs can be effective models for product recommendation and basket completion tasks. We present an enhanced DPP model that is specialized for the task of basket completion, the multi-task DPP. We view the basket completion problem as a multi-class classification problem, and leverage ideas from tensor factorization and multi-class classification to design the multi-task DPP model. We evaluate our model on several real-world datasets, and find that the multi-task DPP provides significantly better predictive quality than a number of state-of-the-art models.

Building a recommender system with Annoy and Word2Vec by Cristian PEREZ, Kernix, and Stanislas MORBIEU, PhD candidate in Computer Science at Paris Descartes University

The Kernix Lab will talk about the development of a recommender engine at the RecSys MeetUp. We will discuss both strategic and technical considerations for a production ready system. Technically, how we handle cold start, misspelled words and content high renewal rates will be shared.

The talks will be followed by a casual networking time over food and drinks.

See you there!