Shared Embedding Pools Let Recommenders Capture Users’ Many Facets
A new recommender framework replaces single user and item embeddings with shared multi-aspect pools, improving accuracy across six datasets.
Tag: NDCG
Semantic-guided graph attention model improves cross-domain recommendation on Amazon data
A new semantic-guided graph attention framework improves rating prediction and ranking on Amazon cross-domain recommendation pairs while showing controlled but ...
Semantic popularity control outperforms count-based control in recommender studies
A study across five Amazon Reviews 2023 categories found that semantic popularity control reduced exposure to broadly popular content more ...
New AI Recommender Fuses Five Signals to Explain Why You Liked It
Researchers at the Vellore Institute of Technology have built NEXUS-Rec, a five-signal neural recommender that outperforms strong baselines on MovieLens ...
New AI Recommender Learns Your Artistic Style, Not Just Your Clicks
Researchers have developed SAGMR, a graph-learning recommender that explicitly models artistic style to improve digital media art suggestions, with the ...
Reinforcement Learning Set to Transform How Recommender Systems Learn and Adapt
A comprehensive review in Artificial Intelligence Review argues that reinforcement learning can overcome the static limitations of traditional recommender systems, ...
Fusing Browsing, Clicks and Purchases to Sharpen E-Commerce Recommendations
A new study shows that fusing browsing, clicking, carting and purchasing signals into a shared temporal representation space improves recommendation ...
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Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study
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University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept
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Bee body mass, pathogens and local climate influence heat tolerance
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Researchers record first-ever images and data of a shark experiencing a boat strike
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Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function
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