Computer scientists introduced HUMP, a multimodal recommendation framework that balances individual user modality habits with item-level global preferences through layered ...
Researchers have introduced HOFA, a contrastive learning framework that mines triangular motifs in social networks and aligns embedding features to ...
A study across five Amazon Reviews 2023 categories found that semantic popularity control reduced exposure to broadly popular content more ...
Recommender systems quietly shape much of modern digital life, deciding which films appear in your queue, which products surface in ...
Researchers in India present a dual-metric framework proving that recommendation ranking accuracy and serving correctness are independent, jointly necessary axes ...
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