Search Results for author: Bjørnar Vassøy

Found 3 papers, 2 papers with code

Providing Previously Unseen Users Fair Recommendations Using Variational Autoencoders

1 code implementation • 29 Aug 2023 • Bjørnar Vassøy, Helge Langseth, Benjamin Kille

An emerging definition of fairness in machine learning requires that models are oblivious to demographic user information, e. g., a user's gender or age should not influence the model.

Fairness Recommendation Systems

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Consumer-side Fairness in Recommender Systems: A Systematic Survey of Methods and Evaluation

no code implementations • 16 May 2023 • Bjørnar Vassøy, Helge Langseth

In the current landscape of ever-increasing levels of digitalization, we are facing major challenges pertaining to scalability.

Fairness Marketing +2

Paper
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Time is of the Essence: a Joint Hierarchical RNN and Point Process Model for Time and Item Predictions

1 code implementation • 4 Dec 2018 • Bjørnar Vassøy, Massimiliano Ruocco, Eliezer de Souza da Silva, Erlend Aune

In this work we combine these two extensions in a joint model for the tasks of recommendation and return-time prediction.

Session-Based Recommendations

Paper
Code

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