Group items tagged

Six weeks ago, ReadWriteWeb published their definitive list of the top Twitter clients. The methodology for that list was watching the Twitter public feed and logging tweet sources. However, how does the list of clients people are using match up the list of the ones people are talking about? Using data from blog search engine Twingly, we decided to see which Twitter clients are getting the most buzz on blogs. The result is a list of the most popular 3rd-party Twitter-apps according to the blogosphere.

During browsing, the user's attention (and their money) is up for grabs. By showing the user something compelling, a web site maximizes the likelihood of a transaction. So if a web site can increase the chances of giving users good recommendations, it makes more money. Obviously this is a difficult problem, but the incentive to solve it is very big. The main approaches fall into the following categories: Personalized recommendation - recommend things based on the individual's past behavior Social recommendation - recommend things based on the past behavior of similar users Item recommendation - recommend things based on the thing itself A combination of the three approaches above

In our initial brainstorming, we formulated our sense of Web 2.0 by example: Web 1.0   Web 2.0 DoubleClick --> Google AdSense Ofoto --> Flickr Akamai --> BitTorrent mp3.com --> Napster Britannica Online --> Wikipedia personal websites --> blogging evite --> upcoming.org and EVDB domain name speculation --> search engine optimization page views --> cost per click screen scraping --> web services publishing --> participation content management systems --> wikis directories (taxonomy) --> tagging ("folksonomy") stickiness --> syndication

1. The Web As Platform Like many important concepts, Web 2.0 doesn't have a hard boundary, but rather, a gravitational core. You can visualize Web 2.0 as a set of principles and practices that tie together a veritable solar system of sites that demonstrate some or all of those principles, at a varying distance from that core.

the power of tagging to your Thunderbird

search- and forwardable

Tags are stored directly into a message's headers

Searching over 10,000 ontologies

Zemanta API

automatically query Zemanta engine for contextual information about the text that user enters

Structure of API call The end point of the API call is: http://api.zemanta.com/services/rest/0.0/