eLearning has completely transformed the way knowledge is imparted. The relevance of the topic being taught is often found lacking in traditional learning material like textbooks. With the advent of online/digital learning, learners have access to loads of course content, videos, and course material for studying different topics. With so much information overload, it’s not always easy for learners to keep a track of what topics are best suited for them or their career.
As a digital/eLearning platform provider, it’s important for you to understand the unique requirements of learners and help them along their course. This is where recommendation systems play an important role. Recommendation systems can analyze the learner’s interests and a variety of other aspects to suggest the best-suited courses or content for them.
Alie is an AI-powered Recommendation Engine for eLearning platforms that are looking to create a personalized learning experience across their digital platforms. Alie’s unique machine learning algorithms are designed to analyze user data and recommend personalized content in real-time with impeccable accuracy. Alie helps you differentiate your user’s experience through personalized content.
Categorize your subscribers into smaller groups that have common interests. Identify the learners having similar characteristics such as - age, educational background, geography, language, search patterns, preferences, likes-dislikes, etc.
Automatically catalog all coursewares, categories, content, and their associated metadata to power machine learning algorithms. Capture referring source, learner’s ratings, viewing history, etc. Catalog Information about the categories(science, IT, business, finance, etc), release date, title, and more.
Manage your entire platform across all devices with the most easy-to-use and out-of-the-box CMS around! Day-to-day recommendations, insightful analytics, faster billing – get them all on one dashboard at your fingertips.
Alie offers a customization feature for eLearning platform providers. With the customization feature, you can tailor recommendations for your learners by configuring the parameters and filters, also use machine learning to optimize your existing content and get the liberty to refine them over time.