review

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.

datasets

Enables the generation of Laplace factor models across diverse Laplace distributions and facilitates the application of Sparse Online Principal Component (SOPC), Incremental Principal Component (IPC), Projected Principal Component (PPC), Perturbation Principal Component (PPC), Stochastic Approximation Principal Component (SAPC), Sparse Principal Component (SPC) and other PC methods and Farm Test methods to these models. Evaluates the efficacy of these methods within the context of Laplace factor models by scrutinizing parameter estimation accuracy, mean square error, and the degree of sparsity.

Guangbao Guo

Laplace Factor Model Analysis and Evaluation

Siqi Liu

review function

A data frame with multiple rows and 12 columns.<ul>
<li><code>User_ID</code>: Unique identifier for each user (Categorical).</li>
<li><code>Art_Galleries</code>: Average user feedback on art galleries.</li>
<li><code>Dance_Clubs</code>: Average user feedback on dance clubs.</li>
<li><code>Juice_Bars</code>: Average user feedback on juice bars.</li>
<li><code>Restaurants</code>: Average user feedback on restaurants.</li>
<li><code>Museums</code>: Average user feedback on museums.</li>
<li><code>Resorts</code>: Average user feedback on resorts.</li>
<li><code>Parks_Picnic_Spots</code>: Average user feedback on parks and picnic spots.</li>
<li><code>Beaches</code>: Average user feedback on beaches.</li>
<li><code>Theaters</code>: Average user feedback on theaters.</li>
<li><code>Religious_Institutions</code>: Average user feedback on religious institutions.</li>
</ul>

review: Review

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