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It has been about a week since I began doing a deeper study of infor­ma­tion retrieval. Actu­ally, every­thing just began with a new course at my uni­ver­sity about that and I just fallen in love almost imme­di­ately. The fact is that this thing really got me inter­ested, and I began doing some exper­i­ments (one involves django as well, keep read­ing to know more).

In this week I learned a lot of things about infor­ma­tion retrieval, text cat­e­go­riza­tion, nat­ural lan­guage pro­cess­ing and machine learn­ing. But the most rel­e­vant thing is: the prin­ci­ples are easy, their imple­men­ta­tion is not. The fact is that most of the tech­niques are rel­a­tively simple but you usu­ally have to deal with very large datasets and this could be chal­leng­ing, since one of the main require­ments about infor­ma­tion retrieval is time. It’s really much more impor­tant that you give less results in one second rather than giving better results in one hour. No one will ever care to use your system if it takes an hour to get some result. And if you’re con­sid­er­ing to store your data in a data­base forget about nor­mal­iza­tion, it wouldn’t really take you anywhere.

(Con­tinue reading…)

Running django with fastcgi is not a dif­fi­cult task, also because of the excel­lent doc­u­men­ta­tion pro­vided. Anyway the doc pro­vides a very basic script to autom­a­tize the start/stop fcgi process, so today I had to write my own so I don’t have to man­u­ally fix things if some­thing goes wrong since I let my script handle the var­i­ous situations.

(Con­tinue reading…)