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I saw those but I am wondering if those aren't at the level needed for an implementation, especially for an imbecile such as myself. :) I'm going to start with
by sown 16y ago
I saw those but I am wondering if those aren't at the level needed for an implementation, especially for an imbecile such as myself. :)
I'm going to start with information retreival book I found at stanford but something tells me I need much more than just that!
- th0ma5 16y agoNo fair enough. I guess it is all in the field of search or natural language processing. For NLP I recommend the NLTK tutorial for Python as an intro, and for search I would recommend checking out Apache Lucene. Perhaps to implement you need to tear concepts from those fields into your own ideas tailored for the task at hand. If you choose Hadoop as job management and distribution, it would scale wide, to a threshold of overhead. If you just want highly specialized on a smaller dataset, and traceable, and I might get shunned for this, heh, but I recommend looking at RDFS and OWL as a somewhat approachable something in the realm of description logic, but that's too formal, maybe. Creating ngrams and other NLP techniques may be pretty neat to play around with, but at smaller scales, it is hard for me to envision something simple that is really any better than just free text search.