Computing recommendations via a Knowledge Graph-aware Autoencoder

07/13/2018
by   Vito Bellini, et al.
0

In the last years, deep learning has shown to be a game-changing technology in artificial intelligence thanks to the numerous successes it reached in diverse application fields. Among others, the use of deep learning for the recommendation problem, although new, looks quite promising due to its positive performances in terms of accuracy of recommendation results. In a recommendation setting, in order to predict user ratings on unknown items a possible configuration of a deep neural network is that of autoencoders tipically used to produce a lower dimensionality representation of the original data. In this paper we present KG-AUTOENCODER, an autoencoder that bases the structure of its neural network on the semanticsaware topology of a knowledge graph thus providing a label for neurons in the hidden layer that are eventually used to build a user profile and then compute recommendations. We show the effectiveness of KG-AUTOENCODER in terms of accuracy, diversity and novelty by comparing with state of the art recommendation algorithms.

READ FULL TEXT

Authors

page 4

07/16/2018

A Collective Variational Autoencoder for Top-N Recommendation with Side Information

Recommender systems have been studied extensively due to their practical...
11/01/2021

URIR: Recommendation algorithm of user RNN encoder and item encoder based on knowledge graph

Due to a large amount of information, it is difficult for users to find ...
06/08/2021

MindReader: Recommendation over Knowledge Graph Entities with Explicit User Ratings

Knowledge Graphs (KGs) have been integrated in several models of recomme...
12/23/2019

An Explainable Autoencoder For Collaborative Filtering Recommendation

Autoencoders are a common building block of Deep Learning architectures,...
05/11/2019

Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommendation

Knowledge graphs capture structured information and relations between a ...
11/10/2020

Alleviating Cold-Start Problems in Recommendation through Pseudo-Labelling over Knowledge Graph

Solving cold-start problems is indispensable to provide meaningful recom...
01/05/2018

Intelligence Graph

In fact, there exist three genres of intelligence architectures: logics ...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.