Thanks Luis!
Rzkeller
11

Yes you are correct. You see we can both follow the topic of sports yet be interested in different aspects of the topic, different sports, teams, players etc. so the idea is to create a semantic relationship of hashtags, keyword/phrase that creates a topical boundary of related words that makes the topic uniquely relevant to you.

In a nut shell, the process would work something like this. Create a live page on Qweboo and the title of the live page becomes the name of your twitter list. The privacy setting on the live page dictates if your list is private or public. And the information keyword and phrase boundary that you create for your topical live page becomes the signals that lets Qweboo know who to add to your interest lists based on the tweets that are being aggregated into your live pages.

Every Live Page will show you your Twitter community. A list of Twitter users you follow that are tweeting with the phrases or terms governed by the semantic logic you created within your live page’s topical boundary. The twitter users listed in your live page community are dynamically updated as people tweet in your network.

If you tweak your keyword boundary (add/remove related phrases/keywords and hashtags) while browsing the discovery feed in real time, the list of users is automatically adjusted while you adjust your Topic preferences. As you follow and unfollow Twitter users, your lists will also be automatically adjusted in the process. The algorithm which analyzes the semantic relationship created by users around their topic boundary allows Qweboo to be in sync with your real time interests to show you the tweets you want to see while also adding/subtracting the users in your Twitter lists in the process. Of course this is an over simplification of the process but it gives an idea on the way it may work. These Twitter lists managed by Qweboo form the base of users in your network that define your specific interest communities on Twitter. Lists you follow created by other users can be used inside live pages as an extra filter to fine tune your topic’s discovery feed by the tweets of users on the list you follow.