A Flexible Session-Based Recommender System for e-Commerce

Research into session-based recommendation systems (SBSR) has attracted a lot of attention, but each study focuses on a specific class of methods. This work examines and evaluates a large range of methods, from simpler statistical co-occurrence methods to embeddings and SotA deep learning methods. T...

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Bibliographic Details

Main Authors:	Michail Salampasis, Alkiviadis Katsalis, Theodosios Siomos, Marina Delianidi, Dimitrios Tektonidis, Konstantinos Christantonis, Pantelis Kaplanoglou, Ifigeneia Karaveli, Chrysostomos Bourlis, Konstantinos Diamantaras
Format:	Artigo
Language:	Inglês
Published:	MDPI AG 2023-03-01
Series:	Applied Sciences
Subjects:	next-item and next-basket recommendations graph-based recommendations purchase intent e-commerce LSTM-RNN
Online Access:	https://www.mdpi.com/2076-3417/13/5/3347
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