[HTML][HTML] A systematic review of the literature on deep learning approaches for cross-domain recommender systems
The increase in online information and the expanding diversity of user preferences require
develo** improved recommender systems. Cross-domain recommender systems (CDRS) …
develo** improved recommender systems. Cross-domain recommender systems (CDRS) …
Cross-domain recommendation via progressive structural alignment
Cross-domain recommendation, as a cutting-edge technology to settle data sparsity and
cold start problems, is gaining increasingly popular. Existing research paradigms primarily …
cold start problems, is gaining increasingly popular. Existing research paradigms primarily …
[HTML][HTML] On the problem of recommendation for sensitive users and influential items: simultaneously maintaining interest and diversity
Recommender systems, in real-world circumstances, tend to limit user exposure to certain
topics and to overexpose them to others to maximize performance. However, repeated …
topics and to overexpose them to others to maximize performance. However, repeated …
Fuzzy and genetic algorithm based approach for classification of personality traits oriented social media images
In recent years, the usage of social media has been increasing exponentially because of its
various real world applications in digital communication such as content sharing …
various real world applications in digital communication such as content sharing …
A lexical psycholinguistic knowledge-guided graph neural network for interpretable personality detection
With the blossoming of online social media, personality detection based on user-generated
content has a significant impact on information scientific and industrial applications. Most …
content has a significant impact on information scientific and industrial applications. Most …
VQAPT: A new visual question answering model for personality traits in social media images
Abstract Visual Question Answering (VQA) for personality trait images on social media is
challenging because of multiple emotions and actions with complex backgrounds in social …
challenging because of multiple emotions and actions with complex backgrounds in social …
A deep selective learning network for cross-domain recommendation
H Liu, Q Liu, P Li, P Zhao, X Wu - Applied Soft Computing, 2022 - Elsevier
In the past two decades, recommendation system has been successfully applied to many e-
commerce companies and is a ubiquitous part of today online entertainment. However …
commerce companies and is a ubiquitous part of today online entertainment. However …
Cross Domain Recommendation Systems using Deep Learning: A Systematic Literature Review
AK Gahier, SK Gujral - Proceedings of the International Conference …, 2021 - papers.ssrn.com
Recommender Systems play an inevitable role nowadays as in every field, there are
plethora of choices to consider. With the advent of more and more Artificial Intelligence and …
plethora of choices to consider. With the advent of more and more Artificial Intelligence and …
A Scholars' Personality Traits Augmented Multi-Dimensional Feature Fusion Scholarly Journal Recommendation Model
X Li, B Shao, G Bian - Applied Soft Computing, 2024 - Elsevier
Journal recommendation is a popular research topic in academic resource
recommendation. However, the reliability of the current model depends on rich features in …
recommendation. However, the reliability of the current model depends on rich features in …
TJMN: Target-enhanced joint meta network with contrastive learning for cross-domain recommendation
Cross-domain recommendation (CDR) provides a promising solution to mitigate the sparsity
issue in the target domain by exploiting auxiliary information from the source domain …
issue in the target domain by exploiting auxiliary information from the source domain …