recommenders
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How to Tell If Your Recommender Will Fail (Before You Spend All That Money On It)
Awhile back, we started exploring how individual interest graphs, powered by Primal’s data service, can be used to improve the performance of recommendation engines. Our surprising conclusion: Marketers and technology buyers are sold on the promise of personalized recommendations. Unfortunately, they don’t know how…
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Content Assistants for Messaging and Social Media
Small conversational data such as tweets or text messages are a goldmine of individual interests. Millions of people everyday tweet about their favourite food, send a Kik or Facebook message about a recent TV episode, or take a photo on Instagram while attending a…
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Recommending Blog Posts within News Articles
In this post, we’re going to integrate Tumblr content into a Yahoo news feed, through the following steps: Step 1: Create an interest graph about a Yahoo news article. Step 2: Filter Tumblr content through the interest graph. Step 3: Integrate filtered Tumblr content…
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Content Recommendations based on a Webpage
How do you recommend products or content for a very specific interest at a moment in time? In this post, we’ll show you how to build a world-class recommendation engine using Primal’s data service.