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Our mission is to bring truth back to the internet.Read more

Our Ranking Methodology

To show the best products and services that you are looking for, we make sure to keep our data sources legitimate, up-to-date, and useful. We gather online reviews from reliable websites, weed out suspicious reviews and apply state-of-the-art machine learning algorithms to extract positive and negative experiences’ of each service. Each experience is utilized in generating representative scores and ranks for all services relating to the keywords you search for.


How do we gather reviews?

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  • We research and gather a comprehensive list of vendors providing similar services for each category.

  • We collect all possible reviews about each service vendor by scraping data from genuine online sources, such as Apple and Google app stores, using platform-specific web scrapers.

  • Our database is consistently updated with the latest reviews to keep you best informed.


How do we filter out suspicious reviews?

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  • A rule-based algorithm is implemented to analyze text features of every scraped review.

  • The algorithm compares the check result of each text sentence with the result of existing text sentences that are flagged as normal reviews.

  • Reviews that are flagged as anomalies/outliers are excluded from our algorithm training for review summarization.


How do we cluster and summarise reviews?

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  • Reviews related to similar contexts are clustered within the same group, forming a topic/context-based summary via a state-of-the-art machine learning model named BART.

  • For each topic cluster, the reviews are further processed to determine their experiences towards the context. Each review is tagged as either a positive or a negative review concerning the topic.


How do we score each product?

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  • We implement another state-of-the-art machine learning algorithm, named RoBERTa, to generate a score between 1-5 per review based on its positive or negative experience around a topic.

  • All ratings concerning a service are aggregated and averaged to generate a final score of each service vendor.


How do we rank products and services?

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  • All service vendors belonging to the same search category are ranked accordingly based on their final score. Intuitively, services with higher ratings are positioned near the top of the search result.

  • To generate a fair and reliable ranking for both established and new service vendors (new = contain less than 50 reviews), we place greater importance on the Google search rank among these services than their pros and cons ratings.

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