TIDE disentangles habitual repurchase from exploratory interest in next-basket recommendation using Hawkes-enhanced Fourier time encoding, dual experts, and item-aware gating, outperforming prior methods on four datasets.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
Ex2Bundle synthesizes package queries from example bundles using aggregate constraints and applies data-aware relaxation when constraints are infeasible, shown on focused text snippet extraction.
citing papers explorer
-
Time-Interval-Aware Disentangled Expert Modeling for Next-Basket Recommendation
TIDE disentangles habitual repurchase from exploratory interest in next-basket recommendation using Hawkes-enhanced Fourier time encoding, dual experts, and item-aware gating, outperforming prior methods on four datasets.
-
Example-Driven Intent Synthesis for Constrained Data Bundle Retrieval: Focused Text Snippet Extraction and Beyond
Ex2Bundle synthesizes package queries from example bundles using aggregate constraints and applies data-aware relaxation when constraints are infeasible, shown on focused text snippet extraction.