Copertina

Pointwise Metrics for Clustering Evaluation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autore principale:	van Staden, Stephan
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Information Retrieval
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

More Clustering Quality Metrics for ABCDE
di: van Staden, Stephan
Pubblicazione: (2024)

Evaluation of Cluster Id Assignment Schemes with ABCDE
di: van Staden, Stephan
Pubblicazione: (2024)

ABCDE: Application-Based Cluster Diff Evals
di: van Staden, Stephan, et al.
Pubblicazione: (2024)

Decomposing the Jaccard Distance and the Jaccard Index in ABCDE
di: van Staden, Stephan
Pubblicazione: (2024)

RankSteer: Activation Steering for Pointwise LLM Ranking
di: Wang, Yumeng, et al.
Pubblicazione: (2026)

Efficient Pointwise-Pairwise Learning-to-Rank for News Recommendation
di: Kannen, Nithish, et al.
Pubblicazione: (2024)

On the Evaluation Metric for Hashing
di: Jiang, Qing-Yuan, et al.
Pubblicazione: (2019)

TFRank: Think-Free Reasoning Enables Practical Pointwise LLM Ranking
di: Fan, Yongqi, et al.
Pubblicazione: (2025)

Sustainability Evaluation Metrics for Recommender Systems
di: Felfernig, Alexander, et al.
Pubblicazione: (2025)

Unbiased Learning to Rank with Query-Level Click Propensity Estimation: Beyond Pointwise Observation and Relevance
di: Yu, Lulu, et al.
Pubblicazione: (2025)

SSE: A Metric for Evaluating Search System Explainability
di: Chen, Catherine, et al.
Pubblicazione: (2023)

T2S-Metrics: Unified Library for Evaluating SPARQL Queries Generated From Natural Language
di: Taghzouti, Yousouf, et al.
Pubblicazione: (2026)

Citation Structural Diversity: A Novel and Concise Metric Combining Structure and Semantics for Literature Evaluation
di: Kong, Mingyue, et al.
Pubblicazione: (2025)

Evaluating Impact of User-Cluster Targeted Attacks in Matrix Factorisation Recommenders
di: Shams, Sulthana, et al.
Pubblicazione: (2023)

Precise Zero-Shot Pointwise Ranking with LLMs through Post-Aggregated Global Context Information
di: Long, Kehan, et al.
Pubblicazione: (2025)

Topological Metric for Unsupervised Embedding Quality Evaluation
di: Shestov, Aleksei, et al.
Pubblicazione: (2025)

Practical RAG Evaluation: A Rarity-Aware Set-Based Metric and Cost-Latency-Quality Trade-offs
di: Dallaire, Etienne
Pubblicazione: (2025)

Automated Similarity Metric Generation for Recommendation
di: Qu, Liang, et al.
Pubblicazione: (2024)

An Offline Metric for the Debiasedness of Click Models
di: Deffayet, Romain, et al.
Pubblicazione: (2023)

A Comparative Analysis of Faithfulness Metrics and Humans in Citation Evaluation
di: Zhang, Weijia, et al.
Pubblicazione: (2024)

Can Offline Metrics Measure Explanation Goals? A Comparative Survey Analysis of Offline Explanation Metrics in Recommender Systems
di: Zanon, André Levi, et al.
Pubblicazione: (2023)

MST-R: Multi-Stage Tuning for Retrieval Systems and Metric Evaluation
di: Malviya, Yash, et al.
Pubblicazione: (2024)

LLM-Driven Data Generation and a Novel Soft Metric for Evaluating Text-to-SQL in Aviation MRO
di: Sutanto, Patrick, et al.
Pubblicazione: (2025)

Rank-Preference Consistency as the Appropriate Metric for Recommender Systems
di: Nguyen, Tung, et al.
Pubblicazione: (2024)

How Much Freedom Does An Effectiveness Metric Really Have?
di: Moffat, Alistair, et al.
Pubblicazione: (2023)

Discrete Scale-invariant Metric Learning for Efficient Collaborative Filtering
di: Zhang, Yan, et al.
Pubblicazione: (2025)

Revealing the Hidden Impact of Top-N Metrics on Optimization in Recommender Systems
di: Wegmeth, Lukas, et al.
Pubblicazione: (2024)

MA-DPR: Manifold-aware Distance Metrics for Dense Passage Retrieval
di: Liu, Yifan, et al.
Pubblicazione: (2025)

On (Normalised) Discounted Cumulative Gain as an Off-Policy Evaluation Metric for Top-$n$ Recommendation
di: Jeunen, Olivier, et al.
Pubblicazione: (2023)

AI Prior Art Search: Semantic Clusters and Evaluation Infrastructure
di: Genin, Boris, et al.
Pubblicazione: (2025)

Repeat-bias-aware Optimization of Beyond-accuracy Metrics for Next Basket Recommendation
di: Liu, Yuanna, et al.
Pubblicazione: (2025)

Towards Fine-Grained Citation Evaluation in Generated Text: A Comparative Analysis of Faithfulness Metrics
di: Zhang, Weijia, et al.
Pubblicazione: (2024)

Retrieval Augmentation via User Interest Clustering
di: Lyu, Hanjia, et al.
Pubblicazione: (2024)

High Recall, Small Data: The Challenges of Within-System Evaluation in a Live Legal Search System
di: Wiggers, Gineke, et al.
Pubblicazione: (2024)

A Multistakeholder Approach to Value-Driven Co-Design of Recommender System Evaluation Metrics in Digital Archives
di: Atzenhofer-Baumgartner, Florian, et al.
Pubblicazione: (2025)

Learning Cluster Representatives for Approximate Nearest Neighbor Search
di: Vecchiato, Thomas
Pubblicazione: (2024)

Rethinking Recommender Systems: Cluster-based Algorithm Selection
di: Lizenberger, Andreas, et al.
Pubblicazione: (2024)

CDC: Causal Domain Clustering for Multi-Domain Recommendation
di: Luo, Huishi, et al.
Pubblicazione: (2025)

Queries Are Not Alone: Clustering Text Embeddings for Video Search
di: Liu, Peyang, et al.
Pubblicazione: (2025)

CRISP: Clustering Multi-Vector Representations for Denoising and Pruning
di: Veneroso, João, et al.
Pubblicazione: (2025)