Product recommendations aka “You recently viewed”, “Related items”, and “What others bought” have become common occurrences nowadays. There are first popularized by Amazon as a tool for upselling and cross-selling products (sales conversion/optimization). Now you can find product recommendations on most major e-commerce stores. The idea of product recommendations is…

(Why) Do you need a product recommendation system? Product recommendation systems have been around for a while. They have become more relevant in recent years with the rise of Amazon and machine-learning/AI technologies.

Siggy tries to place its product recommendations below the main product area by default. However, sometimes you may wish to place the widget in other areas on the product page due to various reasons (e.g. Siggy incorrectly placed the recommendation widget, placing the widget above the product reviews section, etc). …

It’s rare that we are excited about a single feature. However, we firmly believe this feature is a game-changer for Siggy.ai and content recommendations. Standard Recommendation Traditionally, we only display a set number of product recommendations (e.g.) to the user ranked as the most relevant based on the combination of our algorithms. …

It is easy to apply relational database data modeling concepts to Cassandra. However, you may quickly find it to be counter-productive for your application. After some painful data modeling refactoring for our application Siggy.ai, here are some quick tips: 1. The partition key does not have to be unique Although the simplest design is a partition key that is the…

One of the most requested features for Siggy is the ability to display recommendations for out-of-stock products. Although Siggy supports this by default, we will dive into the Shopify configurations a bit further to explain how this works. The one to rule them all! If you just want to enable out-of-stock items to be displayed from…

It is common for Shop owners to put items on sale after the holiday season to clear out inventory. Siggy can help this by prioritizing on-sale items in its recommendation. For example, below is the default recommendations generated by Siggy: Notice that two of the items recommended are on sale. However, the top two recommendations are not.

The classic collaborative filtering algorithm is useful when you have a group of specific users that explicitly provide ratings to many items. This is challenging for many online stores because: A user may shop anonymously without creating a user account. Users do not provide ratings or reviews of products. This…

You can now perform additional customization to the recommendation widget with the price display toggle. To enable the price display, see the video below: Multi-currency support Our widget supports shops that accept multiple currencies. However, the currency format may be displayed differently depending on how you set your primary store language. For example, if your store’s primary language is configured as “English” and the user selects Danish Krone (DKK) as their currency. It will be displayed as “DKK 258.05”