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Description
A multimodal dataset for Point of Interest recommendation based on the Yelp Open Dataset. It includes business metadata, user reviews, business photos, and LLM-generated summaries of reviews and images. The dataset was uploaded by wzehui on September 8, 2025.
Use Cases
Session-based recommendation based on multimodal business and user data.
Multimodal embedding learning based on combined text, image, and metadata features.
POI (Point of Interest) recommendation based on business categories and reviews.
Analysis of LLM-generated summaries for review and image content.
Strengths
Dataset includes multimodal components: business metadata, user reviews, photos, and LLM-generated summaries.
Based on the established Yelp Open Dataset, suggesting a foundation of real-world business and user data.
Uploaded on September 8, 2025, indicating recent availability.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count, file formats, and sample data are unknown, which may limit suitability assessment.
License information is unknown, which could restrict usage.
Provenance
Source
Yelp Open Dataset
Collection Method
Likely derived and augmented from the Yelp Open Dataset, with added LLM-generated summaries.
Freshness
Last updated 2025-09-08 08:10:13.
License is unknown; users should verify terms before use.