Context-aware data sets from five domains
A set of context-aware recommendation datasets across five domains, distributed with CARSKit, for research in context-aware recommender systems and machine learning. Part of an awesome public datasets listing.
About this tool
Context-aware data sets from five domains
Overview
Context-aware data sets from five domains is a collection of recommendation datasets designed for research in context-aware recommender systems and machine learning. The datasets are distributed with the CARSKit toolkit and are part of a broader listing of public datasets for recommender systems research.
- Category: Datasets
- Provider/Brand: carskit
- Use Cases: Context-aware recommendation research, machine learning experiments, benchmarking recommender algorithms
Features
- Context-aware focus: Specifically designed for studying and evaluating context-aware recommender systems.
- Multiple domains: Covers five distinct application domains (exact domains not listed in the provided content, but intended to enable cross-domain comparison and experimentation).
- Integrated with CARSKit: Distributed together with the CARSKit context-aware recommendation toolkit, facilitating direct use in experiments with that framework.
- Public research datasets: Intended for academic and applied research, and included in an “awesome” curated list of public datasets for recommendation.
- Machine learning ready: Structured for use in machine learning workflows, such as training, validation, and testing of recommendation models.
Access & Source
- Source URL: https://github.com/irecsys/CARSKit/tree/master/context-aware_data_sets
Pricing
- Not specified in the provided content; as a GitHub-hosted research dataset collection, it is typically available for free under the repository’s license. Check the GitHub repository for any licensing or usage terms.
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