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Recombee Wordpress guides for WordPress & WooCommerce

The most advanced related posts plugin for WordPress

WordPress is the world’s leading solution when it comes to website creation. It is first and foremost a blog CMS so what if you wanted to link posts or any other types of products together to not only improve your SEO but also guide your users, thus greatly increasing user satisfaction? WPSolr can help with that. WPSolr offers a recommendation plugin that uses AI to accurately suggest related posts (and products if you have Woocommerce installed).   Why have related posts (recommendations) for your WordPress Most popular websites offer some form of recommendations to the users. They are an automated technology designed to suggest content that is in some way related to what the user is currently viewing. This technology can seem very similar to

Wordpress search

WordPress search : Ultimate Guide for 2024

WordPress is the most widely used CMS and single handedly powers 40% of the web. If you haven’t tried it already, it is intuitive, powerful and if you use one of many hosting providers out there, you can easily set up a working website in minutes. But once you made all of your content, how do you ensure that your users can find it. For that, you need a good site search. Many types of search exist : keyword search, AI search, even personalized search. WordPress provides one by default, but it is incredibly slow and ineffective. This guide will go over the benefits of a fast and relevant search and how you could implement third party search engines easily into any WordPress or Woocommerce

Woocommerce recommendation engines

How to add a recommendation engine to your Woocommerce ?

One of the best technologies to boost sales for e-commerce today are recommendation systems. But how could you add a recommendation engine to your woocommerce website?  You’re at the right place. First we will define what recommendation engines are, then we can establish strategies and solutions to add recommendation engines to Woocommerce.   What is a recommendation engine?   A recommendation engine, also called a recommender system, will suggest (or recommend) items that it predicts users will be inclined to view or buy. These predictions are based on patterns of users’ past behaviors and preferences.   This technology is based on personalization and is closely related to personalized search.   What are the benefits of a recommendation engine for Woocommerce?   Recommendations greatly boosts sales

Recombee - Visually similar recommendations

Recommend visually similar products using Recombee

Recombee is an AI recommender that offers many models for personalized search and recommendations. Some of them are “similar”, “popular” or “personal” (based on the users preferences). But one that is severly underrated is the “visually similar” model which uses AI to recommend similar items not based on their content but on the appearance of their featured image.   Our Recombee visually similar recommendations demo (Woocommerce)     If you are interested in viewing how Recombee visually similar recommendations perform, you could check our Recombee & Woocommerce demo (view all our demos). You can find them in a product detailed view.   Why use visually similar recommendations ?   When browsing for products, the first thing we notice are the thumbnails. Recommending items with similar

Image of Wordpress and Recombee

Recombee recommendations for WordPress

Recombee is a personalization & recommendations engine that is proven to improve conversion rates greatly. But what if you wanted to implement it into your WordPress website ? Well you’re at the right place. This will explain why you wold want to add Recombee to your WordPress website but also how you could go it.   Why integrate Recombee into WordPress? Integrating Recombee into WordPress offers countless benefits : Firstly, it enhances user experience by delivering personalized recommendations tailored to individual preferences, thereby increasing user engagement and satisfaction. Recombee is also a very versatile recommendation engine. It can be used for e-commerce, movie or video streaming and blog or news websites. This is because it offers countless user events (interactions) and trained models to use.

Recombee logo

Recombee Review : The most versatile AI recommender

Recombee is an AI-powered recommender that offers both recommendations & personalized search. Whether it’s recommending products, articles, or movies, Recombee leverages advanced algorithms and machine learning to deliver personalized recommendations & search that keep users engaged and satisfied. With its easy integration and customizable features, Recombee empowers businesses to optimize content discovery, increase user retention, and drive conversions effortlessly.       Highly-performing recommendations   Recombee prides itself in increasing conversion rates and in turn revenue tenfold. You can verify this by reading their case studies. Using the case studies, you can observe that Recombee improves website performance in most situations whether it is general purposes, e-commerce, streaming, news, etc…     Here are the main types of recommendations :   1. Item recommendations  

Image of CTR skyrocketing using AI recommendation systems

What are AI-powered Recommendation systems : A 2024 complete beginner’s guide

In the past, you used to increase your website’s click-through/conversion rate by adding a high performance and relevant search experience. But recently, a new type of technology has emerged : recommender systems (or recommenders). Recommendation systems often operate more subtly, with users interacting minimally with the recommendations and not fully registering their presence. They rely on personalization and are closely related to personalized search. Some of the most prominent recommenders on the market are Recombee, Amazon Personalize, Algolia and Google retail. Why choose a recommendation system?   Example of the Amazon homepage full of recommendations to guide the user   Recommendation systems offer an effortless browsing experience   Forcing your users to search for the products or articles they want adds unnecessary steps to a