Recurrent Neural Networks for Long and Short-Term Sequential Recommendation

Villatel, Kiewan; Smirnova, Elena; Mary, Jérémie; Preux, Philippe

Type de document :

Pré-publication ou Document de travail

Titre :

Recurrent Neural Networks for Long and Short-Term Sequential Recommendation

Auteur(s) :

Villatel, Kiewan [Auteur]
Sequential Learning [SEQUEL]
Criteo [Paris]
Smirnova, Elena [Auteur]
Criteo [Paris]
Mary, Jérémie [Auteur]
Criteo [Paris]
Preux, Philippe [Auteur]

Sequential Learning [SEQUEL]

Mot(s)-clé(s) en anglais :

Recommender System
Sequence Modeling
Recurrent neural network
Sequential Recommendation

Discipline(s) HAL :

Informatique [cs]/Recherche d'information [cs.IR]

Résumé en anglais : [en]

Recommender systems objectives can be broadly characterized as modeling user preferences over short-or long-term time horizon. A large body of previous research studied long-term recommendation through dimensionality ...
Lire la suite >Recommender systems objectives can be broadly characterized as modeling user preferences over short-or long-term time horizon. A large body of previous research studied long-term recommendation through dimensionality reduction techniques applied to the historical user-item interactions. A recently introduced session-based recommendation setting highlighted the importance of modeling short-term user preferences. In this task, Recurrent Neural Networks (RNN) have shown to be successful at capturing the nuances of user's interactions within a short time window. In this paper, we evaluate RNN-based models on both short-term and long-term recommendation tasks. Our experimental results suggest that RNNs are capable of predicting immediate as well as distant user interactions. We also find the best performing configuration to be a stacked RNN with layer normalization and tied item embeddings.Lire moins >

Langue :

Anglais

Collections :

Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL

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http://arxiv.org/pdf/1807.09142
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recurrent-neural-networks-long-short-term-recommendation.pdf
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1807.09142
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