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The Magic Barrier Revisited

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What this work says

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

inferredcites →https://doi.org/10.1007/978-0-387-85820-3openalex-snapshot

Recommender Systems Handbook

inferredcites →https://doi.org/10.1007/978-0-387-85820-3_1openalex-snapshot

Introduction to Recommender Systems Handbook

inferredcites →https://doi.org/10.1007/978-1-4899-7637-6openalex-snapshot

Recommender Systems Handbook

inferredcites →https://doi.org/10.1007/978-3-642-02247-0_24openalex-snapshot

I Like It... I Like It Not: Evaluating User Ratings Noise in Recommender Systems

inferredcites →https://doi.org/10.1007/978-3-642-17822-1openalex-snapshot

Grundriss der Generalisierten Gauß'schen Fehlerrechnung

inferredcites →https://doi.org/10.1007/978-3-642-31454-4_20openalex-snapshot

Users and Noise: The Magic Barrier of Recommender Systems

inferredcites →https://doi.org/10.1016/j.csda.2004.06.012openalex-snapshot

A mixture model for preferences data analysis

inferredcites →https://doi.org/10.1016/j.knosys.2013.03.012openalex-snapshot

Recommender systems survey

inferredcites →https://doi.org/10.1017/cbo9780511763113openalex-snapshot

Recommender Systems

inferredcites →https://doi.org/10.1037//0278-7393.6.1.1openalex-snapshot

Presentation rate and the representation of briefly glimpsed pictures in memory.

inferredcites →https://doi.org/10.1037/h0076063openalex-snapshot

Habituation to Rotation.

inferredcites →https://doi.org/10.1063/1.4823194openalex-snapshot

Data Reduction and Error Analysis for the Physical Sciences

inferredcites →https://doi.org/10.1063/1.882103openalex-snapshot

An Introduction to Error Analysis: The Study of Uncertainties in Physical Measurements

inferredcites →https://doi.org/10.1080/01621459.1951.10500769openalex-snapshot

The Kolmogorov-Smirnov Test for Goodness of Fit

inferredcites →https://doi.org/10.1080/03610926.2013.813044openalex-snapshot

Modelling Uncertainty and Overdispersion in Ordinal Data

inferredcites →https://doi.org/10.1080/09500690110039567openalex-snapshot

The development of first year physics students' ideas about measurement in terms of point and set paradigms

inferredcites →https://doi.org/10.1145/1277741.1277752openalex-snapshot

Efficient bayesian hierarchical user modeling for recommendation system

inferredcites →https://doi.org/10.1145/1639714.1639744openalex-snapshot

Rate it again

inferredcites →https://doi.org/10.1145/223904.223929openalex-snapshot

Recommending and evaluating choices in a virtual community of use

inferredcites →https://doi.org/10.1145/2532508.2532511openalex-snapshot

A comparative analysis of offline and online evaluations and discussion of research paper recommender system evaluation

inferredcites →https://doi.org/10.1145/963770.963772openalex-snapshot

Evaluating collaborative filtering recommender systems

inferredcites →https://doi.org/10.2307/2284752openalex-snapshot

Data Reduction and Error Analysis for the Physical Sciences.

inferredcites →https://doi.org/10.5860/choice.35-2173openalex-snapshot

An introduction to error analysis: the study of uncertainties in physical measurements

inferredcites →https://doi.org/10.6028/jres.070c.025openalex-snapshot

Notes on the use of propagation of error formulas

inferredcites →https://doi.org/10.6028/nbs.rpt.9011openalex-snapshot

Notes on the use of propagation of error formulas

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.3297519openalex-extracted

Utilizing Imbalanced Data and Classification Cost Matrix to Predict Movie Preferences

inferred← citeshttps://doi.org/10.1007/978-3-030-02925-8_30openalex-snapshot

Neuroscientific User Models: The Source of Uncertain User Feedback and Potentials for Improving Web Personalisation

inferred← citeshttps://doi.org/10.1007/s10260-019-00461-1openalex-snapshot

The class of cub models: statistical foundations, inferential issues and empirical evidence

inferred← citeshttps://doi.org/10.1007/s10489-018-1237-8openalex-snapshot

Magic barrier estimation models for recommended systems under normal distribution

inferred← citeshttps://doi.org/10.1007/s11257-018-9202-0openalex-snapshot

Coherence and inconsistencies in rating behavior: estimating the magic barrier of recommender systems

inferred← citeshttps://doi.org/10.1007/s13042-021-01490-7openalex-snapshot

Improving recommendation quality through outlier removal

inferred← citeshttps://doi.org/10.1016/j.asoc.2021.108162openalex-snapshot

A Mixture-of-Gaussians model for estimating the magic barrier of the recommender system

inferred← citeshttps://doi.org/10.1080/0144929x.2019.1604804openalex-snapshot

Human uncertainty in explicit user feedback and its impact on the comparative evaluations of accurate prediction and personalisation

inferred← citeshttps://doi.org/10.1111/cogs.13279openalex-snapshot

Human Variability and the Explore–Exploit Trade‐Off in Recommendation

inferred← citeshttps://doi.org/10.1145/3167132.3167278openalex-snapshot

Human uncertainty and ranking error

inferred← citeshttps://doi.org/10.1515/iwp-2018-0002openalex-snapshot

Unsicherheiten menschlicher Entscheidungsfindung in Empfehlungssystemen

inferred← citeshttps://doi.org/10.48550/arxiv.1708.05688openalex-snapshot

Human Uncertainty and Ranking Error -- The Secret of Successful Evaluation in Predictive Data Mining

inferred← citeshttps://doi.org/10.48550/arxiv.1802.05895openalex-snapshot

Dealing with Uncertainties in User Feedback: Strategies Between Denying and Accepting

inferred← citeshttps://doi.org/10.48550/arxiv.1804.10861openalex-snapshot

Neuroscientific User Models: The Source of Uncertain User Feedback and Potentials for Improving Recommendation and Personalisation

inferred← citeshttps://doi.org/10.5121/ijaia.2018.9601openalex-snapshot

Utilizing Imbalanced Data and Classification Cost Matrix to Predict Movie Preferences

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