The Semantic Web provides an enticing vision of our online future. This next-generation Web will enable intelligent computer assistants to work autonomously on our behalf: scheduling our appointments, doing our shopping, finding the information we need, and connecting us with like-minded individuals.
Posts Tagged: interest graph
First published on Medium.com.
In business, vision isn’t some mythical ability to see the future. It’s about being able to recognize a pattern and apply it to something new, before others see it coming.
In this post, we’ll introduce you to one such pattern, the gestation of new media within old media.
According to Murthy Nukala, “any marketer who doesn’t have a graph within the next twelve months will be at a permanent competitive disadvantage.” That’s a pretty ominous warning, particularly when most marketers have no idea what a graph is, let alone how to use it.
Joyce Hostyn argues that Better Human Understanding, Not Big Data, Is the Future of Business. Some excerpts (with my emphasis):
Despite the best of intentions, we’re not data driven, we’re hypothesis driven. Our stories (our mental models) are merely hypotheses of how the world works.
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.
I was meeting with two guys, one a technologist, one a business advisor.
The discussion was focused on Primal’s technology: semantic user models, knowledge representation, yada, yada…
The business advisor, having listened patiently for some time, finally interjects, “Tell me what this means to Trixie!”
“Yes, the everyday person.
Primal does a lot of heavy lifting in knowledge representation and content filtering. If you ask it to grab you some relevant content around your interests, it will do precisely that.
But what if you don’t want to have to ask?
Do you share this opinion?
So given that, what can we say about the eventual development of something we can call “The Star Trek Computer”? Right now, I’d say that we can say at least two things: It will be Open Source , and licensed under the Apache Software License v2.
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.
The most frequently asked question about Primal is, Where do you get the interests data? It’s a fair question. If Primal is the most comprehensive source of open interests data in the world, it begs the question of where we get this valuable data.