I need help in identifying a better algorithm. I have developed a script using pythons scipy package to analyse a rather large model that I wish to solve. The model contains over 12GB of data ...
I'm having a set of data's, say Question, Question's Main Category,Main Category followers, Question's Related Categories,Each Related Categories followers, Whether it got answer in 24hrs [Yes/No] ...
I have a set of user queries from a search engine that I want to cluster. The only clustering algorithm I have come across so far is the K-means clustering algorithm, which requires defining the ...
What is a good way of implementing "next-word prediction"? For example, the user types "I am" and the system suggests "a" and "not" (or possibly others) as the next word. I am aware of a method that ...
I have written a program that can rapidly (within 5 sec on a 2GB RAM desktop, 2.33 Ghz CPU) differentiate between structured text (e.g English text) and random alphanumeric strings. It can also ...
I'm curious to learn from a technical perspective what techniques can be used to make recommendations for e.g. Facebook's "People You May Know" (what algorithm do they use, etc.)? One of the things ...
When an application allows emails to be sent to it to either reply to comments or add todos, trimming those emails for just the relevant text becomes a problem, since there are many different ...
I have 10,000 addresses from a city, which all have a region field in the database. When a new address is entered, then I want my software to automatically detect the region of the address . I think ...
GMail has this feature where it will warn you if you try to send an email that it thinks might have an attachment. Because GMail detected the string see the attached in the email, but no actual ...