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How to improve the statistical power of the 10-fold cross validation scheme in recommender systems

https://doi.org/10.1145/2532508.2532510
0 signed · 26 inferred · view as graph

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/9781119243830.ch12openalex-snapshot
Testing Statistical Hypotheses
inferredcites →https://doi.org/10.1007/978-0-387-85820-3_8openalex-snapshot
Evaluating Recommendation Systems
inferredcites →https://doi.org/10.1016/0198-9715(90)90050-4openalex-snapshot
Statistical power analysis for the behavioral sciences
inferredcites →https://doi.org/10.1017/cbo9780511763113openalex-snapshot
Recommender Systems
inferredcites →https://doi.org/10.1093/iwc/iws003openalex-snapshot
Predicting and Detecting the Relevant Contextual Information in a Movie-Recommender System
inferredcites →https://doi.org/10.1109/mc.2009.263openalex-snapshot
Matrix Factorization Techniques for Recommender Systems
inferredcites →https://doi.org/10.1145/2441955.2442017openalex-snapshot
A 3D approach to recommender system evaluation
inferredcites →https://doi.org/10.1145/963770.963772openalex-snapshot
Evaluating collaborative filtering recommender systems
inferredcites →https://doi.org/10.1214/aoms/1177730491openalex-snapshot
On a Test of Whether one of Two Random Variables is Stochastically Larger than the Other
inferredcites →https://doi.org/10.2307/3001968openalex-snapshot
Individual Comparisons by Ranking Methods
inferredcites →https://doi.org/10.5555/1248547.1248548openalex-snapshot
Statistical Comparisons of Classifiers over Multiple Data Sets

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4658015openalex-extracted
inferred← citeshttps://doi.org/10.1007/978-3-030-67087-0_11openalex-snapshot
The Imitation Game: Algorithm Selection by Exploiting Black-Box Recommenders
inferred← citeshttps://doi.org/10.1007/978-3-319-92007-8_34openalex-snapshot
Reproducibility of Experiments in Recommender Systems Evaluation
inferred← citeshttps://doi.org/10.1007/978-3-319-98204-5_16openalex-snapshot
Reproduction of Experiments in Recommender Systems Evaluation Based on Explanations
inferred← citeshttps://doi.org/10.1007/s00521-019-04274-xopenalex-snapshot
An explanation-based approach for experiment reproducibility in recommender systems
inferred← citeshttps://doi.org/10.1007/s11257-021-09302-xopenalex-snapshot
Improving accountability in recommender systems research through reproducibility
inferred← citeshttps://doi.org/10.1016/j.chb.2024.108336openalex-snapshot
Online grocery shopping recommender systems: Common approaches and practices
inferred← citeshttps://doi.org/10.1016/j.cscm.2023.e02554openalex-snapshot
Sequential backward feature selection for optimizing permanent strain model of unbound aggregates
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2024.171488openalex-snapshot
Evaluating the multi-variable influence on O3, NO2, and HCHO using BRTs and RF model
inferred← citeshttps://doi.org/10.1109/access.2020.3016060openalex-snapshot
Detecting Keratoconus From Corneal Imaging Data Using Machine Learning
inferred← citeshttps://doi.org/10.1109/wccct52091.2021.00026openalex-snapshot
A Link Prediction Algorithm Based on Clustering Coefficient and Sign Influence in Signed Networks
inferred← citeshttps://doi.org/10.1111/mice.13294openalex-snapshot
Automated signal‐based evaluation of dynamic cone resistance via machine learning for subsurface characterization
inferred← citeshttps://doi.org/10.1145/2641383.2641389openalex-snapshot
Report on the workshop on reproducibility and replication in recommender systems evaluation (RepSys)
inferred← citeshttps://doi.org/10.1155/2022/9151340openalex-snapshot
Link Prediction Model for Weighted Networks Based on Evidence Theory and the Influence of Common Neighbours
inferred← citeshttps://doi.org/10.1186/s40703-024-00206-4openalex-snapshot
Classification of geogrid reinforcement in aggregate using machine learning techniques
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