Adaptive implicit friends identification over heterogeneous network for social recommendation
The explicitly observed social relations from online social platforms have been widely
incorporated into recommender systems to mitigate the data sparsity issue. However, the …
incorporated into recommender systems to mitigate the data sparsity issue. However, the …
Cross-media video event mining based on attention graph structure learning
C Zhang, Y Lei, X **ao, X Chen - Neurocomputing, 2022 - Elsevier
Cross-media association mining based on heterogeneous information network (HIN) has
received widespread attention. However, video is described by only a few words, leading to …
received widespread attention. However, video is described by only a few words, leading to …
A Social Recommendation based on metric learning and Users' Co-occurrence Pattern
X Zhang, J Qin, J Zheng - Symmetry, 2021 - mdpi.com
For personalized recommender systems, matrix factorization and its variants have become
mainstream in collaborative filtering. However, the dot product in matrix factorization does …
mainstream in collaborative filtering. However, the dot product in matrix factorization does …
VR system for spatio-temporal visualization of tweet data
Social media analysis is helpful to understand the behavior of people. Human behavior in
social media is related to time and location, which is often difficult to understand the …
social media is related to time and location, which is often difficult to understand the …
Meta-path based heterogeneous graph embedding for music recommendation
The prosperous online music streaming industry makes personalized music
recommendation a topic worthy of extensive study. Traditional music recommendation …
recommendation a topic worthy of extensive study. Traditional music recommendation …
Social recommendation based on implicit friends discovering via meta-path
With the growing popularity of online social platforms, it has been universally recognized
that incorporating social relations into recommender systems can usually alleviate the …
that incorporating social relations into recommender systems can usually alleviate the …
Adopting several models to alleviate sparsity and cold-start problems using data mining techniques for recommendation systems
AMA Al-Sabaawi - 2021 - acikerisim.aksaray.edu.tr
The development of Web 2.0 and the rapid growth of available data have led to the evolution
of multiple systems among them the Recommendation Systems (RSs) which can handle the …
of multiple systems among them the Recommendation Systems (RSs) which can handle the …
Relationship-Aware Hard Negative Generation in Deep Metric Learning
J Huang, Y Feng, M Zhou, B Qiang - … 28–30, 2020, Proceedings, Part II 13, 2020 - Springer
Data relationships and the impact of synthetic loss have not been concerned by previous
sample generation methods, which lead to bias in model training. To address above …
sample generation methods, which lead to bias in model training. To address above …