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Hey! While we're mainly looking at the product metadata, our algorithm also learns user-specific patterns for each store. That makes the recommendations hard to
by antonoo 6y ago
Hey! While we're mainly looking at the product metadata, our algorithm also learns user-specific patterns for each store. That makes the recommendations hard to copy - since two people could look at the same product but get different recommendations. Also, what to recommend to a particular product can depend on more factors than only person & product - seasonality & trends also influence (to varying degrees).
- sanj 6y agoAll of these things are true. But they need to be of sufficient magnitude over simple, zero knowledge about user recommendations to warrant ongoing cost. For the space I was in, recommending hotels, the incremental value of the use behavior was minimal. On the other hand, getting the zero knowledge version working really well was worth an extra 11.6%.