Sign in Subscribe

Dinis Cruz

How I'm Building Personalised News Feeds with Semantic Graphs - Part 2

How I'm Building Personalised News Feeds with Semantic Graphs - Part 2

At the end of Part 1 of this series of posts on how I'm creating the personalised news feeds for multiple personas, we got into the Flow 3 stage, where we had a list of articles that needed to be processed. For reference here are all the flows

How I'm Building Personalised News Feeds with Semantic Graphs - Part 1

How I'm Building Personalised News Feeds with Semantic Graphs - Part 1

Following the technical explanation of how I'm building the Semantic Knowledge Graphs and Establishing Provenance, let's look at the current (MVP) process of publishing a new set of personalised posts for multiple personas (CEO, CISO, CTO, and Board Members). The whole process is managed via a

Building Semantic Knowledge Graphs with LLMs: Inside MyFeeds.ai's Multi-Phase Architecture

Building Semantic Knowledge Graphs with LLMs: Inside MyFeeds.ai's Multi-Phase Architecture

The post Establishing Provenance and Deterministic Behaviour in an LLM-Powered News Feed (first MyFeeds.ai MVP) mentions the use of LLMs to go from an RSS Feed entry all the way to an personalised blog post, but what do those entities look like? and more importantly, how do we have

Establishing Provenance and Deterministic Behaviour in an LLM-Powered News Feed (first MyFeeds.ai MVP)

Establishing Provenance and Deterministic Behaviour in an LLM-Powered News Feed (first MyFeeds.ai MVP)

The first MVP of the MyFeeds.ai site shows an example of personalised cyber security news feeds based on Semantic Knowledge Graphs, which provide provenance on why each article was chosen for each targeted persona (CEO, CISO, CTO, Board Member, etc...) The solution pulls in content from sources like RSS