Comments on: How does search engine personalisation work? http://www.scienceforseo.com/tutorials/how-does-search-engine-personalisation-work/ a bridge between worlds Sat, 05 Feb 2011 14:02:08 +0000 hourly 1 By: Ruud Questions: Marie-Claire Jenkins | rapid-DEV.net http://www.scienceforseo.com/tutorials/how-does-search-engine-personalisation-work/comment-page-1/#comment-957 Ruud Questions: Marie-Claire Jenkins | rapid-DEV.net Mon, 15 Jun 2009 05:41:30 +0000 http://www.scienceforseo.com/?p=962#comment-957 [...] How does it work? [...]<!-- Touched by JuLiA --> [...] How does it work? [...]

]]> By: CJ http://www.scienceforseo.com/tutorials/how-does-search-engine-personalisation-work/comment-page-1/#comment-840 CJ Sat, 06 Jun 2009 11:42:13 +0000 http://www.scienceforseo.com/?p=962#comment-840 You are quite right!<!-- Touched by JuLiA --> You are quite right!

]]> By: Sanjay http://www.scienceforseo.com/tutorials/how-does-search-engine-personalisation-work/comment-page-1/#comment-832 Sanjay Fri, 05 Jun 2009 11:45:20 +0000 http://www.scienceforseo.com/?p=962#comment-832 Most of the internet marketers don't know what exactly is SE Personalisation. And yes, it is difficult to understand. Till date, I am also included in those internet marketers. As far as my knowledge from this post, SE Personalisation is providing an user with the information and services while searching according to his/her past saved activities. Am I correct or I need to make improvements?<!-- Touched by JuLiA --> Most of the internet marketers don’t know what exactly is SE Personalisation. And yes, it is difficult to understand. Till date, I am also included in those internet marketers. As far as my knowledge from this post, SE Personalisation is providing an user with the information and services while searching according to his/her past saved activities. Am I correct or I need to make improvements?

]]> By: Bob Carpenter http://www.scienceforseo.com/tutorials/how-does-search-engine-personalisation-work/comment-page-1/#comment-782 Bob Carpenter Wed, 27 May 2009 20:40:50 +0000 http://www.scienceforseo.com/?p=962#comment-782 I'm surprised anyone's using LSA in production. It's static (in principle, though can be hacked in various ways for various purposes) and is notoriously hard to scale. Scaling's possible using stochastic gradient techniques for Netflix-sized data sets (20K x 500K partial matrix with 100M entries), which have lots of features, but are partial rather than sparse. I don't think it'd be possible to, say, compute a sparse SVD over Gigaword (1M x 100K sparse matrix with 1G non-zero entries), much less over the web, which is several orders of magnitude larger. So now I'm curious about who's using it (or any other matrix factorization method or even general factor anlaysis) and what they're doing with it. SVD is becoming increasingly popular for generating predictive structures for cross-task and cross-genre applications, but these are relatively small, static data sets. PS: Thanks for the pointer to the tutorial.<!-- Touched by JuLiA --> I’m surprised anyone’s using LSA in production. It’s static (in principle, though can be hacked in various ways for various purposes) and is notoriously hard to scale. Scaling’s possible using stochastic gradient techniques for Netflix-sized data sets (20K x 500K partial matrix with 100M entries), which have lots of features, but are partial rather than sparse. I don’t think it’d be possible to, say, compute a sparse SVD over Gigaword (1M x 100K sparse matrix with 1G non-zero entries), much less over the web, which is several orders of magnitude larger.

So now I’m curious about who’s using it (or any other matrix factorization method or even general factor anlaysis) and what they’re doing with it.

SVD is becoming increasingly popular for generating predictive structures for cross-task and cross-genre applications, but these are relatively small, static data sets.

PS: Thanks for the pointer to the tutorial.

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