Are We Really Achieving Better Beyond-Accuracy Performance in Next Basket Recommendation?
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Ming, Liu, Yuanna, Jullien, Sami, Ariannezhad, Mozhdeh, Aliannejadi, Mohammad, Yates, Andrew, de Rijke, Maarten |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Repeat-bias-aware Optimization of Beyond-accuracy Metrics for Next Basket Recommendation
by: Liu, Yuanna, et al.
Published: (2025)
by: Liu, Yuanna, et al.
Published: (2025)
Rethinking the Evaluation of Dialogue Systems: Effects of User Feedback on Crowdworkers and LLMs
by: Siro, Clemencia, et al.
Published: (2024)
by: Siro, Clemencia, et al.
Published: (2024)
Understanding Visual Saliency of Outlier Items in Product Search
by: Sarvi, Fatemeh, et al.
Published: (2025)
by: Sarvi, Fatemeh, et al.
Published: (2025)
A Reproducibility Study of Product-side Fairness in Bundle Recommendation
by: Nguyen, Huy-Son, et al.
Published: (2025)
by: Nguyen, Huy-Son, et al.
Published: (2025)
Basket-Enhanced Heterogenous Hypergraph for Price-Sensitive Next Basket Recommendation
by: Zhou, Yuening, et al.
Published: (2024)
by: Zhou, Yuening, et al.
Published: (2024)
Context Does Matter: Implications for Crowdsourced Evaluation Labels in Task-Oriented Dialogue Systems
by: Siro, Clemencia, et al.
Published: (2024)
by: Siro, Clemencia, et al.
Published: (2024)
AGENT-CQ: Automatic Generation and Evaluation of Clarifying Questions for Conversational Search with LLMs
by: Siro, Clemencia, et al.
Published: (2024)
by: Siro, Clemencia, et al.
Published: (2024)
Time-Interval-Aware Disentangled Expert Modeling for Next-Basket Recommendation
by: Deng, Zhiying, et al.
Published: (2026)
by: Deng, Zhiying, et al.
Published: (2026)
Controlled Retrieval-augmented Context Evaluation for Long-form RAG
by: Ju, Jia-Huei, et al.
Published: (2025)
by: Ju, Jia-Huei, et al.
Published: (2025)
Going Beyond Popularity and Positivity Bias: Correcting for Multifactorial Bias in Recommender Systems
by: Huang, Jin, et al.
Published: (2024)
by: Huang, Jin, et al.
Published: (2024)
A First Look at Selection Bias in Preference Elicitation for Recommendation
by: Gupta, Shashank, et al.
Published: (2024)
by: Gupta, Shashank, et al.
Published: (2024)
ERASE -- A Real-World Aligned Benchmark for Unlearning in Recommender Systems
by: Lubitzsch, Pierre, et al.
Published: (2026)
by: Lubitzsch, Pierre, et al.
Published: (2026)
Do Images Clarify? A Study on the Effect of Images on Clarifying Questions in Conversational Search
by: Siro, Clemencia, et al.
Published: (2026)
by: Siro, Clemencia, et al.
Published: (2026)
Query Performance Prediction using Relevance Judgments Generated by Large Language Models
by: Meng, Chuan, et al.
Published: (2024)
by: Meng, Chuan, et al.
Published: (2024)
SAFERec: Self-Attention and Frequency Enriched Model for Next Basket Recommendation
by: Lashinin, Oleg, et al.
Published: (2024)
by: Lashinin, Oleg, et al.
Published: (2024)
Multimodal Learned Sparse Retrieval with Probabilistic Expansion Control
by: Nguyen, Thong, et al.
Published: (2024)
by: Nguyen, Thong, et al.
Published: (2024)
Revisiting Language Models in Neural News Recommender Systems
by: Zhao, Yuyue, et al.
Published: (2025)
by: Zhao, Yuyue, et al.
Published: (2025)
FairDiverse: A Comprehensive Toolkit for Fair and Diverse Information Retrieval Algorithms
by: Xu, Chen, et al.
Published: (2025)
by: Xu, Chen, et al.
Published: (2025)
Large Language Models for Next Point-of-Interest Recommendation
by: Li, Peibo, et al.
Published: (2024)
by: Li, Peibo, et al.
Published: (2024)
CASE: Cadence-Aware Set Encoding for Large-Scale Next Basket Repurchase Recommendation
by: Cao, Yanan, et al.
Published: (2026)
by: Cao, Yanan, et al.
Published: (2026)
The Unfairness of Multifactorial Bias in Recommendation
by: Mansoury, Masoud, et al.
Published: (2026)
by: Mansoury, Masoud, et al.
Published: (2026)
Do We Really Need to Drop Items with Missing Modalities in Multimodal Recommendation?
by: Malitesta, Daniele, et al.
Published: (2024)
by: Malitesta, Daniele, et al.
Published: (2024)
Towards a Real-World Aligned Benchmark for Unlearning in Recommender Systems
by: Lubitzsch, Pierre, et al.
Published: (2025)
by: Lubitzsch, Pierre, et al.
Published: (2025)
Can We Use Large Language Models to Fill Relevance Judgment Holes?
by: Abbasiantaeb, Zahra, et al.
Published: (2024)
by: Abbasiantaeb, Zahra, et al.
Published: (2024)
Ranked List Truncation for Large Language Model-based Re-Ranking
by: Meng, Chuan, et al.
Published: (2024)
by: Meng, Chuan, et al.
Published: (2024)
Contrastive Learning for Diversity-Aware Product Recommendations in Retail
by: Karlis, Vasileios, et al.
Published: (2026)
by: Karlis, Vasileios, et al.
Published: (2026)
Cold-Starts in Generative Recommendation: A Reproducibility Study
by: Zhang, Zhen, et al.
Published: (2026)
by: Zhang, Zhen, et al.
Published: (2026)
A Systematic Reproducibility Study of BSARec for Sequential Recommendation
by: Hutter, Jan, et al.
Published: (2025)
by: Hutter, Jan, et al.
Published: (2025)
SARDINE: A Simulator for Automated Recommendation in Dynamic and Interactive Environments
by: Deffayet, Romain, et al.
Published: (2023)
by: Deffayet, Romain, et al.
Published: (2023)
Let Me Do It For You: Towards LLM Empowered Recommendation via Tool Learning
by: Zhao, Yuyue, et al.
Published: (2024)
by: Zhao, Yuyue, et al.
Published: (2024)
Re-Rankers as Relevance Judges
by: Meng, Chuan, et al.
Published: (2026)
by: Meng, Chuan, et al.
Published: (2026)
Understanding Accuracy-Fairness Trade-offs in Re-ranking through Elasticity in Economics
by: Xu, Chen, et al.
Published: (2025)
by: Xu, Chen, et al.
Published: (2025)
Interactions with Generative Information Retrieval Systems
by: Aliannejadi, Mohammad, et al.
Published: (2024)
by: Aliannejadi, Mohammad, et al.
Published: (2024)
Generating Multi-Aspect Queries for Conversational Search
by: Abbasiantaeb, Zahra, et al.
Published: (2024)
by: Abbasiantaeb, Zahra, et al.
Published: (2024)
Unidentified and Confounded? Understanding Two-Tower Models for Unbiased Learning to Rank (Extended Abstract)
by: Hager, Philipp, et al.
Published: (2025)
by: Hager, Philipp, et al.
Published: (2025)
Towards Two-Stage Counterfactual Learning to Rank
by: Gupta, Shashank, et al.
Published: (2025)
by: Gupta, Shashank, et al.
Published: (2025)
RankingSHAP -- Listwise Feature Attribution Explanations for Ranking Models
by: Heuss, Maria, et al.
Published: (2024)
by: Heuss, Maria, et al.
Published: (2024)
Robust Information Retrieval
by: Liu, Yu-An, et al.
Published: (2024)
by: Liu, Yu-An, et al.
Published: (2024)
Cognitive Biases in Large Language Models for News Recommendation
by: Lyu, Yougang, et al.
Published: (2024)
by: Lyu, Yougang, et al.
Published: (2024)
Topic-Specific Classifiers are Better Relevance Judges than Prompted LLMs
by: Gienapp, Lukas, et al.
Published: (2025)
by: Gienapp, Lukas, et al.
Published: (2025)
Similar Items
-
Repeat-bias-aware Optimization of Beyond-accuracy Metrics for Next Basket Recommendation
by: Liu, Yuanna, et al.
Published: (2025) -
Rethinking the Evaluation of Dialogue Systems: Effects of User Feedback on Crowdworkers and LLMs
by: Siro, Clemencia, et al.
Published: (2024) -
Understanding Visual Saliency of Outlier Items in Product Search
by: Sarvi, Fatemeh, et al.
Published: (2025) -
A Reproducibility Study of Product-side Fairness in Bundle Recommendation
by: Nguyen, Huy-Son, et al.
Published: (2025) -
Basket-Enhanced Heterogenous Hypergraph for Price-Sensitive Next Basket Recommendation
by: Zhou, Yuening, et al.
Published: (2024)