A comprehensive resource for content marketing covering a wide range of topics of interest to content marketers.
Primal, a content discovery assistant, does most of the grunt work of finding the right information for the specific topics featured on the site.
Content curation, the activity of collecting, organizing, and presenting information of interest to a target audience, is an essential component of content marketing.
As in many areas of marketing, aspects of content curation are being automated. Marketers are exploring how smart machines can help improve their productivity and performance.
Developers have long created software that customers use directly. But now, we’re creating solutions that incorporate internal representations of end-users and adapt to individual needs.
In this post, we’re going to introduce you to the most important component in your solution stack, the user model, explain why it’s so important, and show you how to incorporate user modeling into your solution.
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.
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.
In this post, we’ll show you how to add Primal’s data service to your content curation solutions, as a fully automated, machine-editor.
We’ll also highlight the practical applications and benefits of using a smart machine as a complement to your manual and crowdsourcing strategies.
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.
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.
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!
News alert! Your social network wants to get to know you. Unfortunately, identifying and understanding your interests based on 140 characters is pretty hard to do! That’s why marketers are busy trying everything to get to know you better.
In this post, we’ll demonstrate how Primal can be used to power social media analysis.