Data Transparency & Methodology
How we review and recommend e-readers
Heat Score Calculation
Heat Score is our comprehensive rating system that measures product popularity and user acceptance.
| Dimension | Weight | Direction |
|---|---|---|
| Review Popularity | 55% | More reviews → higher score (logarithmic, capped) |
| User Rating | 20% | Higher rating → higher score (linear) |
| Data Freshness | 15% | Recently scraped → higher score |
| Release Year | 10% | Released within 3 years → bonus |
| Price Advantage | 5% | Under $350 → bonus |
| Discount Depth | 5% | Larger discount → bonus |
Score Range: 0-110 points
We publish the algorithm direction and weights but keep the exact mathematical formula to prevent gaming.
Data Sources
We collect data from multiple reliable sources to ensure accuracy and comprehensiveness.
Review Count
Crawled public listings (primarily Amazon official listings)
Update: Weekly target
User Rating
Aggregated rating field from crawled listings
Update: Weekly target
Release Year
Official specs / product metadata
Update: Low-frequency
Price
Official sites + Amazon official listings
Update: Weekly target
Update Frequency
We regularly update product information and ratings to ensure our recommendations stay current.
| Data Type | Frequency | Notes |
|---|---|---|
| Product Price | Weekly target | Updated by scraper jobs based on source availability |
| Heat Score | Recomputed on read | Recalculated from latest snapshot at read time |
| Product Specs | On-demand | Updated when new launches/spec changes happen |
Frequently Asked Questions
Does Heat Score change over time?
Yes. Heat Score is calculated based on real-time data. When review count, rating, or price changes, Heat Score also changes accordingly.
Why does my product rating differ from what's shown here?
Our ratings come from aggregated data on public product pages. Different sources may have different rating criteria and sampling times.
How can I request a product information update?
You can suggest product updates by contacting us. We regularly scrape the latest data, but can also prioritize specific products based on user feedback.
What is the maximum Heat Score?
The theoretical range of Heat Score is 0-110 points, used for internal sorting reference. We don't display exact scores to avoid excessive focus on numerical differences.
How often is price data updated?
We aim to update prices weekly, but actual frequency depends on data source availability and scraper execution.