existing explanation models

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Google Restaurants

Creators: Zhankui He, Yan; Li, Jiacheng; Zhang, Tianyang; McAuley, Julian
Publication Date: 2022
Creators: Zhankui He, Yan; Li, Jiacheng; Zhang, Tianyang; McAuley, Julian

This is a mutli-modal dataset of restaurants from Google Local (Google Maps). Data includes images and reviews posted by users, as well as other metadata for each restaurant. The rich combination of textual reviews, numerical ratings, and visual content helps to provide a holistic view of user experiences and restaurant characteristics. Such a multi-faceted dataset is particularly valuable for developing and testing recommendation systems, conducting sentiment analysis, and exploring the relationships between visual content and user perceptions in the context of dining establishment. The total size of the dataset is approximately 120 GB and structured into:

  • Restaurant Metadata: Information such as restaurant names, locations, contact details, and operational hours.

  • User Reviews: Textual feedback and numerical ratings provided by users.

  • Images: Photographs uploaded by users, showcasing various aspects of the restaurants.

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