Library clips

Check it out, if you do a Google search for my name one of the sponsored ads will be my Ziki profile…authoritative ads.

I think there are other services like claimID that do similar things, but I think this is more about rankings in search results for your name rather than sponsored ads.

Posts about Ziki:
More on Ziki
ziki : search you web 2.0
The different ways of finding experts
fringe contacts: people tagging

WizAg is the new name for Diggol…since my earlier post there have been lots of changes.

Firstly WizAg can now be a replacement for your traditional RSS Reader, as you can now have a subscription list and read content by feed.

You can also mark a feed as read/unread or even select items as read.

So now it has both the traditional RSS Reading set-up plus the new school features:
- read a river of news
- stories ranked by relevance based on personalised reading behaviour
- tagging/saving stories
- vote
- comment
- flagging
- it even gathers stories you have clicked on into one section (Already Read)…just like Rojo

Not only do you have all these personal features, but if you join WizAg you become part of the WizAg social community…but, so far this isn’t a step up from Rojo (except for the comments).

Where it leaps head is in the semantic analysis and memetracking features

You can read your feed set via a machine generated tag cloud…this is like making a TagCloud or ZoomCloud with your Rojo (feed set) OPML, only it is built in to WizAg.

NOTE: I really like MyFeedz, this is a service where you can enter your feed set (eg. Rojo OPML) and then read content by machine generated tags or you can even create your own tags…but then I want this as a feature built into my traditional RSS Reader…I suppose I could subscribe to the feed of each MyFeedz tag.

WizAg also has machine tags applied to every story, so not only can you read feeds by a machine tag cloud, but every story will list machine tags (the idea is that the stories within these machine tags are similar in content).

Something else I mentioned in the Diggol post is an author tag cloud…wouldn’t it be good if you could read content from your feed set by categories/tags assigned to posts by the blog owners…see MySyndicaat or SuprGlu. Also list these under each story, so you can read other posts based on the same tag (note: these posts are similar by topic/tag decided by an author’s according to how they classify content on their blogs, as opposed to object content analysis like the machine tag. Stories within the machine tags are bound to be more similar to the story you are reading, compared to author tags…kind of like similar content vs. similar topic.)

Another feature of WizAg is related posts, just like a memetracker…this must take the cream of stories from the machine tags of a given story and more confidently explicitly display them as related posts.

This memetracking feature is the most wanted feature for power users…I’ve said this before, if I’m reading a story I want to see all related stories then and there.

Example
I may be reading a story in Feed A…half an hour later I get to the bottom of my feed set and read a similar story in Feed B…I don’t want to wait half an hour to notice this manually, I want the system to make the connection.
When I’m reading the story in Feed A, it can list the story from Feed B as related, if I choose to read the story from Feed B now, then that story will be marked as read. This can also be expanded where it shows related stories from the blogosphere not just from within your OPML.

So WizAg does this 2 ways, for each story it explicity displays related stories, these stories are spot on exactly about the same thing…it also lists machine tags where you will find other stories that are kind of about the same thing, but perhaps not exactly.
I guess stories in these machine tags are a type of recommendation feature, suggesting stories you may like from the blogosphere based on the content of the story you are reading…but then WizAg has another feature called Recomendations.

NOTE: MyFeedz also has tags and related posts for each story.

Check out the TechCrunch post for the visual features.