DB VS IR
We use a complete query to search the database and the result obtained is given to be precise, however in IR we use an incomplete query (keywords) and the user has to determine the relevance of the results.
The reasons being the IR DB is not structured and hence must have a complete understanding of NLP to retrieve a precise result. Since this is not acheived, the queries are illposed by the user.
In traditional DB each record in the db has the probability of either 0 or 1(Valid/Invalid) for the query posed. Whereas the results of IR are ranked based on the probability of relevance which can vary betweeen 0 and 1.
This raises a question of how the Relevance calculated. The Relavance of the document not just decided by the IR system, it learns through the user inputs to improve the probability of relevance.
Aneeth Anand
Aneeth Anand
