User Behavior Modeling with Deep Learning for Recommendation: Recent Advances
User Behavior Modeling (UBM) plays a critical role in user interest learning, and has been
extensively used in recommender systems. The exploration of key interactive patterns …
extensively used in recommender systems. The exploration of key interactive patterns …
Uncovering the propensity identification problem in debiased recommendations
In database of recommender systems, users' ratings for most items are usually missing,
resulting in selection bias when users selectively choose items to rate. To address this …
resulting in selection bias when users selectively choose items to rate. To address this …
Multi-modal Food Recommendation with Health-aware Knowledge Distillation
Food recommendation systems play a pivotal role in shaping dietary salubrity and fostering
sustainable lifestyles by recommending recipes and foodstuffs that align with user …
sustainable lifestyles by recommending recipes and foodstuffs that align with user …
High-level preferences as positive examples in contrastive learning for multi-interest sequential recommendation
The sequential recommendation task based on the multi-interest framework aims to model
multiple interests of users from different aspects to predict their future interactions. However …
multiple interests of users from different aspects to predict their future interactions. However …
Multi-modal Food Recommendation using Clustering and Self-supervised Learning
Food recommendation systems serve as pivotal components in the realm of digital lifestyle
services, designed to assist users in discovering recipes and food items that resonate with …
services, designed to assist users in discovering recipes and food items that resonate with …
Analisis Masalah Dan Solusi Live Streaming Shopping: Tinjauan Literatur Sistematis
Live streaming shopping menjadi bentuk kegiatan jual beli secara online yang berkembang
pesat bersamaan dengan meningkatnya pengguna e-commerce. Penelitian sebelumnya …
pesat bersamaan dengan meningkatnya pengguna e-commerce. Penelitian sebelumnya …
Stealthy attack on graph recommendation system
The graph-based recommendation systems achieve significant success, yet they are
accompanied by malicious attacks. In most scenes, attackers will inject crafted fake profiles …
accompanied by malicious attacks. In most scenes, attackers will inject crafted fake profiles …
Moment&Cross: Next-Generation Real-Time Cross-Domain CTR Prediction for Live-Streaming Recommendation at Kuaishou
Kuaishou, is one of the largest short-video and live-streaming platform, compared with short-
video recommendations, live-streaming recommendation is more complex because of:(1) …
video recommendations, live-streaming recommendation is more complex because of:(1) …
[PDF][PDF] FreewayML: An Adaptive and Stable Streaming Learning Framework for Dynamic Data Streams
Streaming (machine) learning (SML) can capture dynamic changes in real-time data and
perform continuous updates. It has been widely applied in real-world scenarios such as …
perform continuous updates. It has been widely applied in real-world scenarios such as …