Cookbook Reviews with User Ratings and Interaction Metrics

CookbookReviews is a dataset of user interactions and recipe reviews from the OpenML platform. It contains recipe names, user IDs, 5-star ratings, and review comment details such as timestamps, response counts, and upvotes/downvotes. The dataset is shared under a CC-BY-4.0 license.

Use Cases

• Predict recipe popularity based on user ratings and vote counts mentioned in the description.
• Analyze user engagement patterns based on review comment timestamps and response counts.
• Perform sentiment analysis on review text using the associated 5-star rating system.
• Model user reputation dynamics based on the internal user reputation rate feature.

Strengths

• Includes a 5-star rating system for quantifying user opinions.
• Contains multiple interaction metrics per review, such as creation timestamp, response count, and upvote/downvote totals.
• License (CC-BY-4.0) is clearly specified, permitting sharing and adaptation.

Limitations

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

Provenance

Source

OpenML

Collection Method

Likely contains user-generated content from a recipe or review platform.