Serendipity Movie Test Data with 404 Movies Across 15 Genres

404 movie entities from DBpedia and LinkedMDB form a testbed for serendipity-relatedness algorithms. Each entity includes linked data URIs, a surrounding datagraph, and a list of serendipitous movie suggestions. The dataset, created by Jeronimo S. A. Eichler, provides scored paths connecting entity pairs for evaluation.

Use Cases

• Evaluate serendipity-relatedness algorithms based on the provided scored paths between movie pairs.
• Train graph neural networks for recommendation using the linked data datagraphs surrounding each entity.
• Benchmark movie suggestion systems against the provided lists of serendipitously suggested movies.
• Study cross-genre connectivity in cinematographic data based on the 15-genre partition structure.

Strengths

• Contains 404 movie entities, providing a defined scale for testing.
• Includes structured linked data (URIs and datagraphs) from two established sources, DBpedia and LinkedMDB.
• Provides ground truth for evaluation in the form of scored paths and serendipitous suggestion lists for each entity pair.

Limitations

• Row count and file size are 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

Source

DBpedia and LinkedMDB

Collection Method

Data was extracted from linked data sources and partitioned by cinematographic genre.