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Social network data to alleviate cold-start in recommender system: A systematic review
LAG Camacho, SN Alves-Souza - Information Processing & Management, 2018 - Elsevier
Recommender Systems are currently highly relevant for hel** users deal with the
information overload they suffer from the large volume of data on the web, and automatically …
information overload they suffer from the large volume of data on the web, and automatically …
User-generated content sources in social media: A new approach to explore tourist satisfaction
Y Narangajavana Kaosiri… - Journal of Travel …, 2019 - journals.sagepub.com
The study focuses on sources of user-generated content (UGC) in social media: strong-tie
sources, weak-tie sources, and tourism-tie sources and their effects on tourist satisfaction …
sources, weak-tie sources, and tourism-tie sources and their effects on tourist satisfaction …
Robust preference-guided denoising for graph based social recommendation
Graph Neural Network (GNN) based social recommendation models improve the prediction
accuracy of user preference by leveraging GNN in exploiting preference similarity contained …
accuracy of user preference by leveraging GNN in exploiting preference similarity contained …
Disentangled representation learning for recommendation
There exist complex interactions among a large number of latent factors behind the decision
making processes of different individuals, which drive the various user behavior patterns in …
making processes of different individuals, which drive the various user behavior patterns in …
Curriculum co-disentangled representation learning across multiple environments for social recommendation
There exist complex patterns behind the decision-making processes of different individuals
across different environments. For instance, in a social recommender system, various user …
across different environments. For instance, in a social recommender system, various user …