Posts Tagged ‘recommenders’

How to Tell If Your Recommender Will Fail (Before You Spend All That Money On It)

Wednesday, July 10th, 2013

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.

recommender-fail

Our surprising conclusion: Marketers and technology buyers are sold on the promise of personalized recommendations. Unfortunately, they don’t know how to tell recommenders apart, even when they’re built on radically different technical approaches. And the results are mixed, at best. End users are left frustrated, wondering when this promise of personalized recommendations will actually be delivered.

In this post, we’re going to show you how to ask the right questions of your technology provider, to make an informed choice based on business considerations, not technical jargon. We’ll highlight some of the common risks and pitfalls, and conclude with a statement of what to expect from your technology provider.  (more…)

Content Assistants for Messaging and Social Media

Wednesday, June 26th, 2013

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 sporting event or concert.

However if you’re trying to recommend content or promote offers within a conversation, the ability to determine a user’s interests from these small data inputs is a huge challenge.

John Koestier in Venture Beat writes:

…tweets are difficult to register commercial intent…

If I tweet about my wife’s illness, are you going to target me with a random medicine? Or if you tweet about a great dinner you’re just about to eat, will you really be receptive to ads about a Greek restaurant just down the road?

In this post, we’ll show you an elegant solution for content recommendations, applied in messaging and social media platforms.
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Recommending Blog Posts within News Articles

Wednesday, May 22nd, 2013

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 in the Yahoo news article.

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Content Recommendations based on a Webpage

Wednesday, May 8th, 2013

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.
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