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Book Open access Sep 2026

TRACE: Targeted Ranking-Aware Counterfactual Explanation for Sequential Recommendation

Ranking-constraint counterfactual explanation for sequential recommendation requires query-limited search to decide where to edit and what to substitute—the bottlenecked for query efficiency lies more in how the search space is structured than in the mutation rate alone. We propose TRACE (Targeted Ranking-Aware Counter...

Ungsik Kim, Sang-Min Choi, Gun-Woo Kim et al. · 1 citation
Book Open access Sep 2026

Information-Aware Long Sequence Compression for Sequential Recommendation

Sequential recommendation (SR) aims to predict a user’s next interaction by modeling temporal dependencies in historical behavior sequences. However, modeling long sequences introduces two challenges: longer histories often include noisy interactions irrelevant to a user’s core interests, and increasing sequence length...

Woo-Seung Kang, Minje Kim, Suwon Lee et al. · 0 citations

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