Session-Based Recommendations for e-Commerce with Graph-Based Data Modeling

Session-Based Recommendations for e-Commerce with Graph-Based Data Modeling

Conventional recommendation methods such as collaborative filtering cannot be applied when long-term user models are not available. In this paper, we propose two session-based recommendation methods for anonymous browsing in a generic e-commerce framework. We represent the data using a graph where i...

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Bibliographic Details
Main Authors: Marina Delianidi, Konstantinos Diamantaras, Dimitrios Tektonidis, Michail Salampasis
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Applied Sciences
Subjects:
recommender systems
session-based recommendations
e-commerce
data and web mining
item co-occurrence
graph data model
Online Access:https://www.mdpi.com/2076-3417/13/1/394

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https://www.mdpi.com/2076-3417/13/1/394

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