Posts Tagged ‘Yahoo’

Personalized Web Content for Your Application

Wednesday, June 19th, 2013

Back in the early days of the Web, the Yahoo! Directory filled a huge gap in the ecosystem.

This portal helped us make sense of the Web. It organized content based on topics, connected those topics into a hierarchy to make sense of it all, and standardized the presentation of the content so that it was convenient and accessible.

But where can you find a portal that makes content from the Web accessible in your application? If you want to incorporate content from the Web into your app, let alone personalize it to the individual interests of your users, you’re undoubtedly confronting some daunting problems:

  • the content isn’t described in a way your application can understand;
  • the content isn’t organized in a way that matches your app; and
  • the content isn’t presented in a way that makes it easy to incorporate into your user experience.

In the sections that follow, we’re going to introduce you to a simple solution. Primal is like a personalized Web portal for your app. It’s a data service that makes it easy to incorporate Web content from sources you trust, tailored to the needs of each individual user of your application.

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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 usingĀ Primal’s data service.
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A Personalized News App

Thursday, March 7th, 2013

In the sections that follow, we’ll show you how Primal can support your product development efforts by providing the data that describes the interests of individuals and finding the content that people will truly love!

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