Saurabh Sahni » appengine http://www.saurabhsahni.com Mashing up the web Fri, 01 Jul 2011 16:35:26 +0000 en hourly 1 http://wordpress.org/?v=3.1.3 What is your retweet rank? http://www.saurabhsahni.com/2008/12/what-is-your-retweet-rank/ http://www.saurabhsahni.com/2008/12/what-is-your-retweet-rank/#comments Sun, 28 Dec 2008 18:25:11 +0000 saurabhsahni http://www.saurabhsahni.com/?p=40 Obama is the most followed twitter user, but who is producing the most interesting content across the twittersphere lately?

Retweets are great indication of the originator’s topical influence and the audience’s interest. Recently, after reading a post “Are You Retweetable“, from Todd Sampson (co-founder MyBlogLog), I thought of creating a quick hack, Retweetrank, for ranking twitter users based on the number of retweets.

Retweetrank lets you find rank of any twitter user. With the rank, latest retweets of the user are shown and an RSS feed can also be grabbed for the same. Monitoring retweets can provide a better understanding of audience to the originator while others can see the most interesting tweets of a user.

The top ranked twitter users, who have been most retweeted recently, are listed in the leaderboard. They are the once producing most interesting content across the twittersphere.

Find your retweet rank now.

Retweetrank searches the public timelines of twitter users through the twitter APIs and is deployed on google appengine.

Update (Jan 11): As Ian Kennedy suggested below in the comments, here is a greasemonkey script to see recent retweets for any user in the twitter sidebar.

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]]> http://www.saurabhsahni.com/2008/12/what-is-your-retweet-rank/feed/ 530 Natural Language Image Search with Yahoo Boss and Google App Engine http://www.saurabhsahni.com/2008/08/natural-language-image-search-with-boss-and-app-engine/ http://www.saurabhsahni.com/2008/08/natural-language-image-search-with-boss-and-app-engine/#comments Tue, 26 Aug 2008 18:50:08 +0000 saurabhsahni http://www.saurabhsahni.com/?p=25 Natural language processing is partly used in text search today, but its use in image search is mostly unexplored. I did a quick hack: askBoss, which retrieves images to questions posed in natural language. askBoss attempts to enhance image results for queries around factual question answering. It uses Yahoo Boss (Search) APIs through Boss Mashup framework and is deployed on Google App Engine.

This hack is an extension of Vik Singh’s qna service, which finds answer using the popular phrases in the top search results for a query. I do image search for the best answers and blend them with the regular image search results. The hack is a basic prototype and natural language image search gets triggered only for questions (queries including who/what/which).

Try askBoss: http://ask-boss.appspot.com

Below is a quick comparison of search results obtained by askBoss, Google image search and Y! image search for query: who is batman in the dark knight?

askBoss results: who is batman in the dark knight?

askboss: who is batman in the dark knight

Google image search results: who is batman in the dark knight?

google: who is batman in the dark knight

Yahoo Image search results: who is batman in the dark knight?

yahoo: who is batman in the dark knight

Try askBoss: http://ask-boss.appspot.com

With Yahoo Boss APIs and a deployment platform like Google App Engine, building a decent search service is pretty easy. I could finish this hack within a few hours by using Boss Mashup Framework and App Engine. Apart form the qna service, other popular Boss API/app engine integrations include 4hoursearch aka YUIL.

Update: askBOSS got covered in TechCrunch and Yahoo Search Blog.

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