arXiv Artificial Intelligence

Hypergraph-Enhanced Dual Convolutional Network for Bundle Recommendation

1 hour ago 07.10.2026 07:00 👁 1 views
Hypergraph-Enhanced Dual Convolutional Network for Bundle Recommendation

Quick summary

arXiv:2312.11018v3 Announce Type: replace-cross Abstract: Bundle recommendation ranks sets of related items rather than isolated items. Its central challenge is to connect user preferences, item interactions, and bundle composition without losing the signals needed to rank bundles. We propose Hypergraph-Enhanced Dual Convolutional Neural Network (HED), which constructs a complete hypergraph containing user--bundle, user--item, and bundle--item interactions together with intra-user and intra-bundle relations. HED couples complete-hypergraph propagation with a user--bundle branch, allowing item-

Key takeaways

  • arXiv:2312.11018v3 Announce Type: replace-cross Abstract: Bundle recommendation ranks sets of related items rather than isolated items.
  • Its central challenge is to connect user preferences, item interactions, and bundle composition without losing the signals needed to rank bundles.
  • We propose Hypergraph-Enhanced Dual Convolutional Neural Network (HED), which constructs a complete hypergraph containing user--bundle, user--item, and bundle--item interactions together with intra-user and intra-bundle relations.

Why it matters

The importance of “Hypergraph-Enhanced Dual Convolutional Network for Bundle Recommendation” will be measured by what changes in practice. User behavior, access conditions, verifiable performance and responsible-use outcomes are the signals worth following.

Kaynak sitede devamını oku: arXiv Artificial Intelligence ↗