review: Review

In LFM: Laplace Factor Model Analysis and Evaluation

Review

Description

This dataset contains travel reviews from TripAdvisor.com, covering destinations in 11 categories across East Asia. Each traveler's rating is mapped to a scale from Terrible (0) to Excellent (4), and the average rating for each category per user is provided.

Usage

review

Format

A data frame with multiple rows and 12 columns.

• User_ID: Unique identifier for each user (Categorical).

• Art_Galleries: Average user feedback on art galleries.

• Dance_Clubs: Average user feedback on dance clubs.

• Juice_Bars: Average user feedback on juice bars.

• Restaurants: Average user feedback on restaurants.

• Museums: Average user feedback on museums.

• Resorts: Average user feedback on resorts.

• Parks_Picnic_Spots: Average user feedback on parks and picnic spots.

• Beaches: Average user feedback on beaches.

• Theaters: Average user feedback on theaters.

• Religious_Institutions: Average user feedback on religious institutions.

Details

The dataset is populated by crawling TripAdvisor.com and includes reviews on destinations in 11 categories across East Asia. Each traveler's rating is mapped as follows: Excellent (4), Very Good (3), Average (2), Poor (1), and Terrible (0). The average rating for each category per user is used.

Note

This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license, which allows for sharing and adaptation of the data for any purpose, provided that appropriate credit is given.

Source

UCI Machine Learning Repository

Examples

# Load the dataset
data(review)

# Print the first few rows of the dataset
print(head(review))

LFM documentation built on April 16, 2025, 9:07 a.m.