Personalized Product Rankings

To increase engagement, it can be beneficial to personalize the products that appear in certain collections (e.g. promoted or merchandised products). Within any given filter on your product catalog, it's possible to easily rerank the results using Miso's User to Products API.

Example for Personalized Product Rankings

Introduction

Within an eCommerce site or marketplace, there are many areas that can benefit from ranking based on which products are most likely to appeal to the user. For example, you may have a ribbon showing promoted products ("Top Deals") and another ribbon showing products within a merchandised category ("Spring Picks"). By personalizing both of these UX elements, you can increase engagement. It's much more likely that the user will click on the top deals for their interests or the spring selections that go along with other items they've been browsing.

Any product ribbon can be personalized using Miso's User to Products API, which fetches the products that are most likely to engage the user. Calling this API with the fq parameter lets you set any type of filter for the specific types of products that you would like to rerank using personalization. Learn more about filtering in our deep dive.

Personalized Product Rankings is essentially a more specific version of the Products For You recipe. Both use the User to Products API . Note that if you want to get the top products for a user in a certain category (compared to a smaller collection), you can use the Category Pages recipe.

Before You Start

API Call / JSON Response

To fetch Personalized Product Rankings, POST to the User to Products API with the following minimum parameters:

  • user_id or anonymous_id: The user or anonymous visitor to personalize the recommendations for
  • fq: The query (in Solr syntax) specifying how to filter to the product recommendation results. For example, you can filter to a specific brand, collection, or criteria (like a promotion).

The API will return a list of products that are ordered by how likely they are to convert for the user (indicated by the personalization_score).

Don't forget: there are many parameters you can use to optimize and filter the results that Miso returns, such as fl , boost_fq , and diversification .
Read more in the deep dive

Example API Call

POST /v1/recommendation/user_to_products?api_key=<API_KEY> HTTP/1.1
{
    "user_id": "user-123",
    "fl": ["title"],
    "fq": "tags:\"ON SALE\""
    "rows": 5
}

Example JSON Response

{
    "message": "success",
    "data": {
        "took": 23,
        "miso_id": "517452b0-0ccf-11eb-948d-66352qf28022",
        "products": [
            {
                "product_id": "belkin-wireless-charger",
                "title": "Belkin Wireless Charger",
                "_personalization_score": 0.88
            },
            {
                "product_id": "jenga-hasbro",
                "title": "Hasbro - Jenga Game",
                "_personalization_score": 0.85
            },
            ...
        ]
    }
}

Before You Launch

Using this API recipe as a starting point, test API calls to your engine in development
If you haven't already, build pipelines to stream your real-time data updates to Miso via API. Your Miso solutions engineer is here to help with the integration.
Start using this API recipe to power the UX on your site in staging. If you need UX recommendations, ask your Miso solutions engineer about Bento .
Run an A/B test with Miso on simulated website traffic. If desired, your Miso solutions engineer can perform this test and provide a report.
If this is your first time launching with Miso, ask your Miso solutions engineer to unlock your production environment.
Replicate your Data and Engine API calls on production and set up the same engine in your production environment in Dojo.
Review your data and engine performance in Dojo.
Turn on this recipe for a percentage of your users and scale up to a full rollout. Notify your Miso solutions engineer who will monitor the launch metrics.

API Reference

💻

Need more info on the API? Check out our dedicated API page with all the info you could ever want.

Read API Reference
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