Multi-Domain Product Feeds with Pricing and Consumer Reviews

E-Commerce Product & Web-Scraped Datasets is a collection of product feeds, pricing metrics, and consumer review data aggregated from multiple domains. The dataset appears to be sourced from web scraping activities, though the specific sources and collection methodology are not detailed. The number of records, file formats, and last update date are unknown.

Use Cases

• Train price prediction models based on the pricing metrics mentioned in the description.
• Analyze consumer sentiment based on the review data mentioned in the description.
• Compare product attributes and features across different domains based on the multi-domain product feeds.
• Build recommendation systems based on product and review data.

Strengths

• Covers multiple e-commerce domains, which suggests a broad scope.
• Includes several data types: product feeds, pricing metrics, and consumer reviews.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Collection Method

Likely gathered via web scraping, as indicated by the title and description.