no code implementations • 25 Feb 2024 • Binyam Gebre, Karoliina Ranta, Stef van den Elzen, Ernst Kuiper, Thijs Baars, Tom Heskes
In personalized recommender systems, embeddings are often used to encode customer actions and items, and retrieval is then performed in the embedding space using approximate nearest neighbor search.
1 code implementation • 12 Jan 2023 • Mariya Hendriksen, Svitlana Vakulenko, Ernst Kuiper, Maarten de Rijke
Additionally, we select two scene-centric datasets, and three object-centric datasets, and determine the relative performance of the selected models on these datasets.
1 code implementation • 21 Dec 2021 • Mariya Hendriksen, Maurits Bleeker, Svitlana Vakulenko, Nanne van Noord, Ernst Kuiper, Maarten de Rijke
One aspect of this data is a category tree that is being used in search and recommendation.
no code implementations • 16 Dec 2020 • Mariya Hendriksen, Ernst Kuiper, Pim Nauts, Sebastian Schelter, Maarten de Rijke
In this paper, we focus on purchase prediction for both anonymous and identified sessions on an e-commerce platform.