Trending Products
  • 07 Feb 2024
  • 1 Minute to read

    Trending Products


      Article Summary

      Overview

      This algorithm recommends items by using a scoring system. This week's trending items compared to those in the previous week are specified by scoring items based on weekly view and purchase information. This type of algorithm works best on main and category pages.

      Endpoint

      GET https://recommendation.api.useinsider.com/v2/trending

      Query Parameters

      ParameterSample ValueDescriptionData TypeRequired
      partnerNamemybrandPartner Identifier which is assigned by Insider. You can use PartnerID as well.StringYes
      localeus_USLocale of requested product catalog.StringYes
      platformwebRequested platform. Web comes by default.EnumNo
      currencyUSDRequested currency of the products. If no value is set, the default currency in your settings is used.StringYes
      size50Required number of items in response. Valid values are 0 to 100.IntegerNo
      categoryList[“Clothes”, “Skirts”]Category filter of the productsArray (of string)No
      filter
      Smart Recommender filtering. There can be more than one filter parameter.StringNo
      detailstrueAdds details to the products of the response.BooleanNo
      shufflefalseShuffles the products of the response.BooleanNo
      getGroupProductsfalseShows variant products under the products of the response.BooleanNo
      groupProductsFields
      Adds these fields to the variant products’ details.StringNo
      excludeVariantstrueExclude variants from response.BooleanNo

      Sample Example

      Sample Request

      GET https://recommendation.api.useinsider.com/v2/trending?partnerName={partnerName}&locale={Locale}&currency={currency}&size=2

      Sample Response

      {
          "success": true,
          "total": 2,
          "types": {
              "tpop": 2
          },
          "data": [
              "ASD-4983",
              "TYU-3451"
          ]
      }

      Fallback Algorithms

      If the products come from Trending Products are not enough to fill the response data, some fallback algorithms below fill it:

      • Trending products of category without excluding the rightmost item in the categoryList.

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