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Session-Based Recommendations

6 papers with code · Miscellaneous

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Recurrent Neural Networks with Top-k Gains for Session-based Recommendations

ICLR 2018 hidasib/GRU4Rec

RNNs have been shown to be excellent models for sequential data and in particular for data that is generated by users in an session-based manner.

COLLABORATIVE FILTERING DATA AUGMENTATION SESSION-BASED RECOMMENDATIONS

Session-based Recommendations with Recurrent Neural Networks

21 Nov 2015hidasib/GRU4Rec

We apply recurrent neural networks (RNN) on a new domain, namely recommender systems.

SESSION-BASED RECOMMENDATIONS

Session-based Recommendation with Graph Neural Networks

1 Nov 2018CRIPAC-DIG/SR-GNN

To obtain accurate item embedding and take complex transitions of items into account, we propose a novel method, i. e. Session-based Recommendation with Graph Neural Networks, SR-GNN for brevity.

SESSION-BASED RECOMMENDATIONS

Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks

13 Jun 2017mquad/hgru4rec

Session-based recommendations are highly relevant in many modern on-line services (e. g. e-commerce, video streaming) and recommendation settings.

SESSION-BASED RECOMMENDATIONS

Contextual Hybrid Session-based News Recommendation with Recurrent Neural Networks

15 Apr 2019gabrielspmoreira/chameleon_recsys

The recommendation of news is often considered to be challenging, since the relevance of an article for a user can depend on a variety of factors, including the user's short-term reading interests, the reader's context, or the recency or popularity of an article.

SESSION-BASED RECOMMENDATIONS

News Session-Based Recommendations using Deep Neural Networks

31 Jul 2018gabrielspmoreira/chameleon_recsys

This architecture is composed of two modules, the first responsible to learn news articles representations, based on their text and metadata, and the second module aimed to provide session-based recommendations using Recurrent Neural Networks.

SESSION-BASED RECOMMENDATIONS