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Record W2356998972

Evaluation of the Efficiency Index of Portal Websites in China's 5A Rated Tourism Attraction Based on Experience Theory

2014· article· en· W2356998972 on OpenAlex
Hu Yun

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

VenueEconomic Geography · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Marketing and Social Media
Canadian institutionsScience North
Fundersnot available
KeywordsAnalytic hierarchy processTourismChinaIndex (typography)AdvertisingWebsite designTourist attractionAttractionBusinessCompleteness (order theory)MarketingComputer scienceWorld Wide WebGeographyOperations researchMathematics
DOInot available

Abstract

fetched live from OpenAlex

Website is the portal and platform of information show for tourism attractions. It is the foundation of intelligent attractions. This paper conducted the efficiency index of portal websites based on the experience theory to reflect the construction level of websites,which decomposed to four parts: evaluation of user experience,technique support,content completeness and effect functionality. It used analytic hierarchy process to calculate the factor weight and evaluated websites of China's 5A rated tourism attractions and found that the development level exited large differences,which represented the distribution that was small at both ends and big in the middle. In the future owners of websites should survey and promote their websites by paying more attention to the requirement of online visitors.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.132
Threshold uncertainty score0.241

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.009
GPT teacher head0.266
Teacher spread0.257 · 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