You May Also Like

Introduction

You May Also Like is the most popular product recommendation model on the web today. Almost all major eCommerce sites and marketplaces have a "You May Also Like" or "Related Products" ribbon toward the end of their product details page (PDP), showcasing other products for the user to consider. These are usually similar to the product in the PDP, and serve as a way to continue engaging the user in case the current item is not exactly what they're looking for.

With Miso, you can generate You May Also Like recommendations using the Product to Products API. By passing in the anchor product and user session id, you will receive a list of recommendations for related products that are also personalized. Miso's engines automatically figure out which items are likely to drive conversions for the user. Additional input parameters can be used to tune these recommendations, for example to increase the diversity or boost certain results to the top.

Before You Start

API Call / JSON Response

To fetch your You May Also Like recommendations, POST to the Product to Products API with the following minimum parameters:

• user_id: The user or anonymous visitor to personalize the recommendations for
• product_id: The anchor product

The API will return a list of recommended products.

Example API Call

POST /v1/recommendation/product_to_products?api_key=<API_KEY> HTTP/1.1
{
    "user_id": "user-123",
    "product_id": "air-jordan-1-retro-high-85",
    "fl": ["title", "price"]
}

Example JSON Response

{
    "message": "success",
    "data": {
        "took": 56,
        "miso_id": "f98b1904-ddce-11eb-be53-fa1729b23183",
        "products": [
            {
                "product_id": "air-jordan-1-retro-high",
                "title": "Air Jordan 1 Retro High OG BG",
                "price": 129,
                ..., // Additional scoring information
            },
            {
                "product_id": "air-jordan-1-mid-smoke",
                "title": "Air Jordan 1 Mid 'Smoke Grey'",
                "price": 216,
                ..., /// Additional scoring information
            },
            ...
        ]
    }
}

Read more about the scoring information that Miso returns in the API response.

Before You Launch