A survey on session-based recommender systems
Recommender systems (RSs) have been playing an increasingly important role for informed
consumption, services, and decision-making in the overloaded information era and digitized …
consumption, services, and decision-making in the overloaded information era and digitized …
Evaluation of session-based recommendation algorithms
Recommender systems help users find relevant items of interest, for example on e-
commerce or media streaming sites. Most academic research is concerned with approaches …
commerce or media streaming sites. Most academic research is concerned with approaches …
A survey on stream-based recommender systems
Recommender Systems (RS) have proven to be effective tools to help users overcome
information overload, and significant advances have been made in the field over the past …
information overload, and significant advances have been made in the field over the past …
Meta-prod2vec: Product embeddings using side-information for recommendation
We propose Meta-Prod2vec, a novel method to compute item similarities for
recommendation that leverages existing item metadata. Such scenarios are frequently …
recommendation that leverages existing item metadata. Such scenarios are frequently …
Word2vec applied to recommendation: Hyperparameters matter
H Caselles-Dupré, F Lesaint… - Proceedings of the 12th …, 2018 - dl.acm.org
Skip-gram with negative sampling, a popular variant of Word2vec originally designed and
tuned to create word embeddings for Natural Language Processing, has been used to …
tuned to create word embeddings for Natural Language Processing, has been used to …
An attribute-driven mirror graph network for session-based recommendation
Session-based recommendation (SBR) aims to predict a user's next clicked item based on
an anonymous yet short interaction sequence. Previous SBR models, which rely only on the …
an anonymous yet short interaction sequence. Previous SBR models, which rely only on the …
Long-tail session-based recommendation
Session-based recommendation focuses on the prediction of user actions based on
anonymous sessions and is a necessary method in the lack of user historical data. However …
anonymous sessions and is a necessary method in the lack of user historical data. However …
Multi-view enhanced graph attention network for session-based music recommendation
Traditional music recommender systems are mainly based on users' interactions, which limit
their performance. Particularly, various kinds of content information, such as metadata and …
their performance. Particularly, various kinds of content information, such as metadata and …
Session-based recommender systems
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A survey on incremental update for neural recommender systems
P Zhang, S Kim - arXiv preprint arXiv:2303.02851, 2023 - arxiv.org
Recommender Systems (RS) aim to provide personalized suggestions of items for users
against consumer over-choice. Although extensive research has been conducted to address …
against consumer over-choice. Although extensive research has been conducted to address …