Evaluation Model and Influencing Factors of Consumer Satisfaction with E-Commerce Platform
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.
Bibliographic record
Abstract
The boom of online shopping has intensified the competition between e-commerce platforms. To enhance its service quality, every e-commerce website is taking measures to improve shopping experience and consumer satisfaction. However, the existing studies on consumer satisfaction with e-commerce platform fail to fully consider consumer feedbacks, such as sharing, forwarding, and reviewing. Thus, this paper explores the evaluation model and influencing factors of consumer satisfaction with e-commerce platform. Firstly, the behavior features of similar consumers were clustered, and evaluation indices were referred to divide the factors affecting the consumer satisfaction with e-commerce platform into different layers. In addition, a consumer satisfaction evaluation model was constructed based on attention mechanism, and proved effective through experiments.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.005 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it