Review Duplication and Syndication
Review aggregation is no small feat, and pulling in tens of thousands of reviews for dozens of products from all over the internet comes with a few challenges. Two of the primary challenges are duplicated reviews and syndication.
To understand review syndication, think of your experience as a consumer. Typically, potential buyers read reviews when considering their purchase decision; however, consumer opinions can be distributed across multiple retailers leading to an imbalance in review distribution. To solve for this, many retailers share or 'syndicate' reviews across sources; this might be with other retailers, promotional programs like Influenster, brand websites, or review aggregators such as Bazaarvoice.
Data Ingestion and Deduplication
While useful from a consumer perspective, syndicated reviews poses a problem when aggregating review data for analysis, since a single review may be collected a dozen times - overweighting opinions in the overall dataset if not mitigated.
To ensure that reviews aren't over-weighted and that the consumers' voice is appropriately represented, Yogi performs deduplication and syndication attribution steps, ensuring that each data point has been meaningfully accounted for.