1 code implementation • 29 Jan 2024 • Carlo Bretti, Pascal Mettes, Hendrik Vincent Koops, Daan Odijk, Nanne van Noord
Creating a trailer requires carefully picking out and piecing together brief enticing moments out of a longer video, making it a chal- lenging and time-consuming task.
no code implementations • 7 Sep 2023 • Mateo Gutierrez Granada, Dina Zilbershtein, Daan Odijk, Francesco Barile
This paper investigates how large language models (LLMs) can enhance recommender systems, with a specific focus on Conversational Recommender Systems that leverage user preferences and personalised candidate selections from existing ranking models.
1 code implementation • 15 Jun 2023 • Gabriel Bénédict, Olivier Jeunen, Samuele Papa, Samarth Bhargav, Daan Odijk, Maarten de Rijke
In this paper we propose RecFusion, which comprise a set of diffusion models for recommendation.
no code implementations • 17 Sep 2022 • Sanne Vrijenhoek, Gabriel Bénédict, Mateo Gutierrez Granada, Daan Odijk, Maarten de Rijke
In traditional recommender system literature, diversity is often seen as the opposite of similarity, and typically defined as the distance between identified topics, categories or word models.
1 code implementation • 24 Aug 2021 • Gabriel Bénédict, Vincent Koops, Daan Odijk, Maarten de Rijke
We propose a loss function, sigmoidF1, which is an approximation of the F1 score that (1) is smooth and tractable for stochastic gradient descent, (2) naturally approximates a multilabel metric, and (3) estimates label propensities and label counts.
no code implementations • 18 Dec 2020 • Sanne Vrijenhoek, Mesut Kaya, Nadia Metoui, Judith Möller, Daan Odijk, Natali Helberger
News recommenders help users to find relevant online content and have the potential to fulfill a crucial role in a democratic society, directing the scarce attention of citizens towards the information that is most important to them.
no code implementations • 14 May 2018 • Maartje ter Hoeve, Anne Schuth, Daan Odijk, Maarten de Rijke
There is an increasing demand for algorithms to explain their outcomes.
1 code implementation • 15 Jan 2017 • David Graus, Daan Odijk, Maarten de Rijke
We do so by tracking entities that emerge in public discourse, that is, in online text streams such as social media and news streams, before they are incorporated into Wikipedia, which, we argue, can be viewed as an online place for collective memory.