Showing 1-8 of 14 results
Raw Bay Area Craigslist Rental Housing Posts

Raw Bay Area Craigslist Rental Housing Posts

Stefan
Open Dataset
Publication Date: 2018
Creators: Pennigton, Kate

Like many cities, San Francisco doesn’t track rents. I created a panel of historic Craigslist rents by scraping posts archived by the Wayback Machine. Please feel free to use the data, and of course, please cite.

Amazon Brand and Exclusives

Amazon Brand and Exclusives

Stefan
Open Dataset
Publication Date: 2021
Creators: Jeffries, Adrianne; Yin, Leon
Google Restaurants

Google Restaurants

Stefan
Open Dataset
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.

TripAdvisor European restaurants

TripAdvisor European restaurants

Stefan
Open Dataset
Publication Date: 2021
Creators: (Leone, Stefano)

TripAdvisor is the most popular travel website and it stores data for almost all restaurants, showing locations (even latitude and longitude coordinates), restaurant descriptions, user ratings and reviews, and many more aspects.The dataset is 0.68 GB large.

The TripAdvisor dataset includes 1,083,397 restaurants with attributes such as location data, average rating, number of reviews, open hours, cuisine types, awards, etc.

The dataset combines the restaurants from the main European countries, the data has been scraped in early May 2021.

Amazon product co-purchasing network metadata

Amazon product co-purchasing network metadata

Stefan
Open Dataset
Publication Date: 2006
Creators: Leskovec, Jure

The data was collected by crawling Amazon website and contains product metadata and review information about 548,552 different products (Books, music CDs, DVDs and VHS video tapes). For each product the following information is available:

Title
Salesrank
List of similar products (that get co-purchased with the current product)
Detailed product categorization
Product reviews: time, customer, rating, number of votes, number of people that found the review helpful

The data was collected in summer 2006.

Web data: Amazon Fine Foods reviews

Web data: Amazon Fine Foods reviews

Stefan
Open Dataset
Publication Date: 2012
Creators: McAuley, Julian; Leskovec, Jure

This dataset consists of reviews of fine foods from amazon. The data span a period of more than 10 years, including all ~500,000 reviews up to October 2012. Reviews include product and user information, ratings, and a plaintext review.

Web data: Amazon movie reviews

Web data: Amazon movie reviews

Stefan
Open Dataset
Publication Date: 2012
Creators: McAuley, Julian; Leskovec, Jure

This dataset consists of movie reviews from amazon. The data span a period of more than 10 years, including all ~8 million reviews up to October 2012. Reviews include product and user information, ratings, and a plaintext review.

Amazon product co-purchasing network and ground-truth communities

Amazon product co-purchasing network and ground-truth communities

Stefan
Open Dataset
Publication Date: 2012
Creators: Yang, Jaewon; Leskovec, Jure

Network was collected by crawling Amazon website. It is based on Customers Who Bought This Item Also Bought feature of the Amazon website. If a product i is frequently co-purchased with product j, the graph contains an undirected edge from i to j. Each product category provided by Amazon defines each ground-truth community. We regard each connected component in a product category as a separate ground-truth community. We remove the ground-truth communities which have less than 3 nodes. We also provide the top 5,000 communities with highest quality which are described in our paper. As for the network, we provide the largest connected component. The dataset contains 334,863 nodes and 925,872 edges.

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