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Record W2050890440 · doi:10.1504/ijwgs.2010.032189

User profile management: reference model and web services implementation

2010· article· en· W2050890440 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal of Web and Grid Services · 2010
Typearticle
Languageen
FieldComputer Science
TopicService-Oriented Architecture and Web Services
Canadian institutionsAcadia University
Fundersnot available
KeywordsComputer scienceWeb servicePersonalizationWorld Wide WebReference modelDatabaseSoftware engineering

Abstract

fetched live from OpenAlex

A user profile is a structured representation of an individual user's characteristics and personal preferences with respect to a software application or computing device. As the variety and complexity of applications and mobile devices increase, there is a growing need and interest in personalisation. This necessitates methods of managing user profile content such that it can be accessed, updated and potentially shared over communication networks. This research investigates User Profile Management (UPM) as a network-based service for managing user profile content. The major requirements for a good UPM service are defined. A reference model is proposed that includes an architecture, profile data schema, a protocol, basic command functions and security mechanisms. A prototype UPM service and four client applications based on the reference model are developed using Java and web services technologies. Scenarios are constructed to demonstrate the value of the UPM reference model and the web services implementation. We conclude that the proposed reference model provides a solid foundation for developing UPM services and that web services technologies are suitable for implementing the reference model in a distributed network environment.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.475
Threshold uncertainty score0.624

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.006
GPT teacher head0.264
Teacher spread0.258 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it