If a product has fewer than ten reviews, the point contribution for Rating and Words/Review is reduced: 1/3 reduction in points for products with 5-9 reviews, two-thirds reduction for products with fewer than five reviews. 600 words = 12 points 750 words = 15 points 900 or more words = 18 points). For Words/Review, the maximum score is 18 points awarded linearly between 0-900 words (e.g. For Rating, the maximum score is 28 points awarded linearly between 6-10 (e.g.
For example, if a product has 80% of the number of reviews compared to the product with the most reviews then the product's points for reviews would be 18 * 80% = 14.4.īoth Rating and Words/Review are awarded on a fixed linear scale. Every other product gets assigned points based on its total in proportion to the #1 product in that ranking factor. The score is calculated as follows:įor each ranking factor of Reviews, Views, and Comparisons, the product with the highest count in each ranking factor gets a maximum 18 points. The total ranking of a product, represented by the bar length, is based on a weighted aggregate score. Global deduplication: When searching for duplicated data, this method of deduplication compares data in all devices within the entire deduplication domain.Local deduplication: Duplicate data is only compared with the data that is in the current storage device.It compresses and stores data via algorithms. Byte-level deduplication: This form of deduplication is sourced and deleted from the byte level.Block-level deduplication: Files are categorized into blocks and compared by fixed or indefinite lengths or by hash values of the stored block.If no similar file can be found, it is stored and updated in the index. It is used for storing files according to the index and is compared to the existing stored file.
File-level deduplication: This type of deduplication is also referred to as single-instance storage (SIS).Adaptive data deduplication: Online deduplication is used when an environment has low-performance requirements and post-processing deduplication is adopted for high-performance requirements.Post-processing deduplication: Just like it sounds, this method of deduplication starts after data is already written to a disk.Inline deduplication: Removing duplicate data before it is written to a disk.Target-side deduplication: In contrast to source-side deduplication, this type of deduplication transfers the data to a backup device before deleting the duplicate data when storing.Source-side deduplication: This is the process of deleting duplicate data and thereafter transferring that data to a backup device.There are several different types of deduplication, including:
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