Apache Solr

I had been thinking about moving away from Blogger to my own domain. Finally, I decided to give in and I was fortunate enough to buy this domain. Blogger has been a simple service but I wanted to try the new kids Tumblr or Posterous. After spending ... [More] some time fiddling with both of them, I decided to go with Tumblr. It took me some time to figure out the right way to move from Blogger. I used the import script written by Jonathan Tron to import my old posts. Sadly, there is no way to import comments from blogger. The least I could do was to import them into disqus and link the same disqus account into tumblr; which actually does not help much. The bigger issue was to migrate without leaving RSS subscribers in the lurch. The slightly lesser issue was to preserve my earlier blog’s Google page rank. The first issue was solved easily. You can do the same with the following sequence of steps. Create a Feedburner account and import your blogger feed. Set your blogger feed to redirect to Feedburner. Edit your tumblr theme and replace the RSS link to point to feedburner Edit your feedburner to import from tumblr’s rss The second was slightly more tricky. The right way to move a website to a different domain is to use permanent redirects from the old page to the new page. However, Blogger (obviously) does not allow you to do that. Thankfully, Google recently announced support for specifying  canonical links which can point to the preferred version of a URL. So, I hacked up a script to match pages of blogger’s RSS with tumblr’s RSS and generate conditional blogger template snippets which let me specify the canonical (tumblr) URL for each page on my Blogger account. I couldn’t redirect so I had to fall back on meta-refresh to redirect anyone visiting an old page to the new page. I hate to break the back button like this but that was the only possible way in this case. This is what it looked like: I used to think that blogging is a solved problem. After doing all this and trying out many service, I don’t believe that anymore. [Less]

AOL’s new logos, which one do you like?

AOL’s new logos, which one do you like?

AOL listed on the New York Stock Exchange on 10th December 2009. This has been in the works for a long time and I’m glad we’re finally here. Things are changing around the company and I’m happy to be a part of this change. AOL has a new logo (and ... [More] yes, it is still to be written as AOL). I loved the new brand videos, watch them on youtube - http://www.youtube.com/watch?v=YlSL7svbooYSeed.com was also launched a few days back. It is a new spin on crowd sourcing content which, I believe, is a great idea.We’re just getting started! [Less]

Apache Lucene Java 3.0.0 has been released. Lucene Java 3.0.0 is mostly a clean-up release without any new features. It paves the path for refactoring and adding new features without the shackles of backwards compatibility. All APIs deprecated in ... [More] Lucene 2.9 have been removed and Lucene Java has officially moved to Java 5 as the minimum requirement.See the announcement email for more details. Congratulations Lucene Devs! [Less]

Apache Lucene Java 3.0.0 has been released. Lucene Java 3.0.0 is mostly a clean-up release without any new features. It paves the path for refactoring and adding new features without the shackles of backwards compatibility. All APIs deprecated in ... [More] Lucene 2.9 have been removed and Lucene Java has officially moved to Java 5 as the minimum requirement.See the announcement email for more details. Congratulations Lucene Devs! [Less]

Apache Mahout 0.2 has been released. Apache Mahout is a project which attempts to make machine learning both scalable and accessible. It is a sub-project of the excellent Apache Lucene project which provides open source search software.From the ... [More] project website:The Apache Lucene project is pleased to announce the release of Apache Mahout 0.2.Highlights include:Significant performance increase (and API changes) in collaborative filtering engineK-nearest-neighbor and SVD recommendersMuch code cleanup, bug fixingRandom forests, frequent pattern mining using parallel FP growthLatent Dirichlet AllocationUpdates for Hadoop 0.20.xDetails on what's included can be found in the release notes.Downloads are available from the Apache Mirrors [Less]

Apache Mahout 0.2 has been released. Apache Mahout is a project which attempts to make machine learning both scalable and accessible. It is a sub-project of the excellent Apache Lucene project which provides open source search software.From the ... [More] project website:The Apache Lucene project is pleased to announce the release of Apache Mahout 0.2. Highlights include: Significant performance increase (and API changes) in collaborative filtering engine K-nearest-neighbor and SVD recommenders Much code cleanup, bug fixing Random forests, frequent pattern mining using parallel FP growth Latent Dirichlet Allocation Updates for Hadoop 0.20.x Details on what’s included can be found in the release notes. Downloads are available from the Apache Mirrors [Less]