Library clips

GooRSS generates a feed for each Google web search…MSN and IceRocket already offer this, I wonder when Google will formalize this.

(For Yahoo! searches, use FeedJumbler)

A more formal way to do this is via Google Alerts, the free version offers 3 searches.

[via Micro Persuasion]

As you constantly subscribe to your choosing of recommended feeds, and bookmark your choosing of recommended links, (in addition to the subscriptions and bookmarks you already have) you will possess a very powerful personal search engine (provided you can choose to search your subscriptions and bookmarks at the same time)
…on top of this you can choose to add personal search engines from your friends (eg. the whole Rojo community, your contacts).

SOCIAL RECOMMENDATION

- Looks at the OPML of other RSS Reader accounts (from they same service, eg. Rojo…this service even could limit this to your contacts) that also subscribe to the same feeds as you

“Here are some more feeds from people who also read this feed”

- Looks at the OPML of other RSS Reader accounts and tracks the same stories that you flag, save, clickthrough, rate/vote (as just clickthroughs can be misleading)

“Here are some feeds based on stories people like, these people read many of the feeds you read”

“Here are some stories based on stories people like, these people read many of the feeds you read”

- Text Analysis

“Here are some stories with similar keywords in the title”

…apply this to not only other OPML’s of other RSS Reader accounts (eg. the whole of Rojo, or your Rojo contacts), but also from the whole blogosphere.

The quantity and quality of recommended feeds is based on the community of the particular RSS Reader (eg. Rojo)..the bigger the community the more information there is to work with…same goes with recommending stories (eg. del.icio.us has great recommended links, and discovery - related tags and common tags, as the community is quite vast…Rojo also has a growing social bookmark folksonomy).

- Looks at the blogs in your OPML and tracks any person who leaves a comment on any blog post in your OPML (ie. tracks the commentors blog, if they have one) (this adds only as a weight to the recommendation)

- Looks at the blogs in your OPML and tracks any person who sends a trackback or incoming link on any blog in your OPML (ie. tracks the blog of the person who sent the incoming link or trackback, if they have one) (this adds only as a weight to the recommendation)

- It also does the same for the OPML of other RSS Reader accounts that have at least 10 feeds in common with you (this adds only as a weight to the recommendation)

“Here are some feeds based on conversations with the blogs in your OPML”

- Looks at the OPML of other RSS Reader accounts that have the same tags labels as you use to organise your subscriptions

- Looks at the OPML of other RSS Reader accounts that have the same tags labels as you use to organise your stories

“Here are some feeds from people who use the same tags as you”

EXTENDED SOCIAL CLOUD

All the above for:

- The OPML of each persons blog in your OPML (this would be hard to do unless they all used the same RSS Reader or use one at all) and apply most of the points above

- The blogroll of each blog in your OPML…(then in turn looks at their blogrolls, etc…this adds only as a weight to the recommendation)

“Here are some feeds that blogs you subscribe to read”

BLOGOSPHERE

- Looks at blogrolls in the blogosphere that have common blogs that you subscribe to in your RSS Reader (this adds only as a weight to the recommendation)

“Here are some feeds from people who also read this feed”

Looks at the tags/categories of blogs in the blogosphere that have common tags that you use to organise feeds/stories in your RSS Reader (this adds only as a weight to the recommendation)

“Here are some feeds from people who use the same tags as you”

BASED ON YOUR COMMENTS AND OUTGOING LINKS

- Looks at each blog you leave a comment on (also take into account their similar tags/categories as your blog and your RSS Reader)

- Looks at the blogroll of each blog you leave a comment on (also take into account their similar tags/categories as your blog and your RSS Reader)

- Looks at each blog you link to (also take into account their similar tags/categories as your blog and your RSS Reader)

- Looks at the blogroll of each blog you link to (also take into account their similar tags/categories as your blog and your RSS Reader)

“Here are some feeds based on conversations you have in the blogosphere”

BASED ON YOUR BLOG

- Looks at each blog that leaves a comment on your blog (also take into account their similar tags/categories as your blog and your RSS Reader)

- Looks at each blog that links to your blog (also take into account their similar tags/categories as your blog and your RSS Reader)

- Looks at the blogrolls of each blog that leaves a comment on your blog (also take into account their similar tags/categories as your blog and your RSS Reader)

- Looks at the blogrolls of each blog that links to your blog (also take into account their similar tags/categories as your blog and your RSS Reader)

- Looks at tags/categories of blogs in the blogoshere similar to the tags/categories in your blog

“Here are some feeds based on conversations people are having with you in the blogosphere”

SOCIAL TOPIC CLOUDS

Human Tags

1st degree - Enter your OPML into SuprGlu (oops they don’t have that option), this will group all posts from your local circle into tags…a topic-based cloud

2nd degree - Extend this by entering the OPML of each blog in your OPML, or the blogroll of each blog in your OPML

Plus add any feeds that have been recommended to you by the above methods

Machine Tags

1st degree - Enter your OPML into TagCloud, or even Personal Bee, this will group all posts from your local circle into keywords (word bursts - the frequency a word is used)…a machine keyword based cloud

2nd degree - Extend this by entering the OPML of each blog in your OPML, or the blogroll of each blog in your OPML

This is virtually like a search term cloud but with some more analysis, therefore context…the machine is trying to assimilate describing the aboutness of something.

Plus add any feeds that have been recommended to you by the above methods.

This tag cloud (human or machine) will be based on your social reading circle or/and your conversational circle.

See my posts:

Authority in your RSS reader
Blog post utilities!
RSS readers and OPML implications
OPML Sampler: popular posts within an OPML
Blog Ranking: Incoming links??
Blog Clouds
RSS anxiety
RSS Overload: NusEye and others
Personal Bee: relieve feed overload
Managing RSS content…
Are you becoming a slave to your RSS reader?
TagCloud: make your own!
BlogBridge reading lists are here
OPML on the fly
BlogBridge: use and create your own reading lists
ReBlg: blog this!
Rojo: functionality and attention data
Rojo: voting hack (sort of)

FeedButler is much like Digg except the users don’t submit the stories, the stories are automatically generated by a batch of feeds…anyone can add a feed or even OPML file to this stream…this view is “New Stories“.

The similarity it has with Digg is that users mark stories they like, if this happens enough the story will move to the “Top Stories” view.

Clicking on the permalink of a story will show you who else has marked it, you can even go to their profile to see stories they have marked, their friends, and their personal info.

You can access your profile directly from the menu.

You can browse by category (not sure where these come from)…they are also present in your profile.

There is a feed for every page, that’s what we like to see.

Unlike Digg, it lack comments, but the friends feature is a great idea…similar to a groups feature in some social bookmark services.

So I guess the main difference here is that stories are not submitted, they are generated like a Public RSS Reader, just mark the one’s you like, pity you can’t tag them.

This got me thinking, Rojo does something similar with its Explore page.

They don’t have a river of news stream made from every feed in the Rojo community, but they do show “Most Read Stories”, which is similar to Top Stories in “FeedButler”, only in Rojo users aren’t explicitly marking them, a story is considered read if you tag, flag, click, share, email, collapse/expand a story

…so the voting is a different process but the outcome is suggesting the same thing.

If Rojo did incorporate voting into their service, then the most read stories or most marked stories would perhaps be more accurate.

Only unlike FeedButler, this Rojo page would still just be a read only display, where you interact from your personal account, whereas FeedButler you interact more at the public level (you all share the same set of feeds, whether you like it or not).

[via Webosphere]

Feedpile is along the lines of Blogdigger Groups, SuprGlu, RSSMix, kickRSS, peoplefeeds, bozpages…rather than a river of news try 24eyes for a different presentation (RSS widget display boxes).

Here is a sample Feedpile…if you click on View All Feeds you can view and add to your source list without having to go to an admin page…nifty.

Feed43 converts a webpage into an RSS feed.

I was using FeedTier or Feedfire, but this new tool allows you to pick a section of a page
…this is handy as it will scrape only relevant stuff off the webpage.

Other choices are to use WebSite Watcher, this is a webpage monitoring service that not only notifies you by email but also RSS.

At the moment Feed43 is by invitation only, keep an eye on their blog.

One of their posts describes how to create a feed for search results in Technorati without having to sign up for a Watchlist.

This would be even more handy for searches within “blogs about…” as this type of search doesn’t generate a Watchlist…same goes with tag searches (and search within a tag if it will ever exist).

Anyway this may be another way to generate a Bloglines Citations feed.

Here is someones experience using Feed43.

[ADDED 06/05/06: Ponyfish : scrape a Bloglines citation feed]