Product Quality Perception Data from Price, Brand, and Store Cues

A dataset likely containing consumer perception data related to product quality. The data appears to be based on research by I. R. Andrews, published on the Papers with Code platform. The specific number of records, columns, and temporal coverage are unknown.

Use Cases

• Train a model to predict perceived product quality from multiple cues (inferred from domain, verify after download)
• Analyze the relative influence of price, brand, and store signals on consumer impressions (inferred from domain, verify after download)
• Benchmark marketing AI models on multi-factor perception tasks (inferred from domain, verify after download)

Strengths

• Published on the Papers with Code platform.
• Research authored by I. R. Andrews.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Row count, column definitions, and file formats are unknown.
• License is listed as 'closed', which may restrict usage.

Provenance

Source

Papers with Code