Search Results for author: Ana Peleteiro Ramallo

Found 5 papers, 0 papers with code

UNICON: A unified framework for behavior-based consumer segmentation in e-commerce

no code implementations18 Sep 2023 Manuel Dibak, Vladimir Vlasov, Nour Karessli, Darya Dedik, Egor Malykh, Jacek Wasilewski, Ton Torres, Ana Peleteiro Ramallo

Data-driven personalization is a key practice in fashion e-commerce, improving the way businesses serve their consumers needs with more relevant content.

Recommendation Systems

Reusable Self-Attention Recommender Systems in Fashion Industry Applications

no code implementations17 Jan 2023 Marjan Celikik, Jacek Wasilewski, Ana Peleteiro Ramallo

A large number of empirical studies on applying self-attention models in the domain of recommender systems are based on offline evaluation and metrics computed on standardized datasets.

Recommendation Systems

Reusable Self-Attention-based Recommender System for Fashion

no code implementations29 Nov 2022 Marjan Celikik, Jacek Wasilewski, Sahar Mbarek, Pablo Celayes, Pierre Gagliardi, Duy Pham, Nour Karessli, Ana Peleteiro Ramallo

A large number of empirical studies on applying self-attention models in the domain of recommender systems are based on offline evaluation and metrics computed on standardized datasets, without insights on how these models perform in real life scenarios.

Recommendation Systems

Outfit Generation and Recommendation -- An Experimental Study

no code implementations29 Nov 2022 Marjan Celikik, Matthias Kirmse, Timo Denk, Pierre Gagliardi, Sahar Mbarek, Duy Pham, Ana Peleteiro Ramallo

However, to date, there is no extensive comparison of the performance of the different algorithms for outfit generation and recommendation.

Contextual BERT: Conditioning the Language Model Using a Global State

no code implementations COLING (TextGraphs) 2020 Timo I. Denk, Ana Peleteiro Ramallo

BERT is a popular language model whose main pre-training task is to fill in the blank, i. e., predicting a word that was masked out of a sentence, based on the remaining words.

Language Modelling Sentence

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