Attribute-driven Disentangled Representation Learning for Multimodal Recommendation
Recommendation algorithms forecast user preferences by correlating user and item
representations derived from historical interaction patterns. In pursuit of enhanced …
representations derived from historical interaction patterns. In pursuit of enhanced …
Multimodal representation learning for tourism recommendation with two-tower architecture
Y Cui, S Liang, YY Zhang - Plos one, 2024 - journals.plos.org
Personalized recommendation plays an important role in many online service fields. In the
field of tourism recommendation, tourist attractions contain rich context and content …
field of tourism recommendation, tourist attractions contain rich context and content …
Behavior-Contextualized Item Preference Modeling for Multi-Behavior Recommendation
In recommender systems, multi-behavior methods have demonstrated their effectiveness in
mitigating issues like data sparsity, a common challenge in traditional single-behavior …
mitigating issues like data sparsity, a common challenge in traditional single-behavior …
[HTML][HTML] Explicitly Exploiting Implicit User and Item Relations in Graph Convolutional Network (GCN) for Recommendation
B Xiao, D Chen - Electronics, 2024 - mdpi.com
Most existing collaborative filtering-based recommender systems rely solely on available
user–item interactions for user and item representation learning. Their performance often …
user–item interactions for user and item representation learning. Their performance often …
Formalizing multimedia recommendation through multimodal deep learning
Recommender systems (RSs) provide customers with a personalized navigation experience
within the vast catalogs of products and services offered on popular online platforms …
within the vast catalogs of products and services offered on popular online platforms …
Neural Networks and Evolutionary Algorithms Based Approaches for Engineering Recommendation Systems–A Comprehensive Review
B Priyadharshini, N Apoorva, A Alekhya… - … on Emerging Trends …, 2024 - ieeexplore.ieee.org
Recommendation systems are the subset of data filtering techniques and focus on providing
personalized suggestions to the users. The systems rely on the data to provide insightful …
personalized suggestions to the users. The systems rely on the data to provide insightful …