开发者_Python百科I have customer database who have certain attributes, and a customer type. The collection of attributes can vary (they do come from a finite set though), and when I look at a new cust
I need to analyze the text to exist in it banned words. Suppose the black list is the word: \"Forbid\". The word has many forms. In the text the word can be, for example: \"forbidding\", \"forbidden\"
I have made a program which builds 3 graphs(arc and node). The graphs were built based on2D arrays of 1 and 0.
This question is a chalenge for me, my friend can`t tell me how to do it, but he is really good programmer (I think).
I have a couple DBs of user information, each one 10k-20k entries, each one from a couple of different sources, and each one constantly growing. I\'m looking to create a tool that can within a certain
I ran into a little problem. I am creating a web app with code snippets. Users are confronted with two random code snippets which are tagged similarly and they must choose which of the two they like t
This is one of the things that Stack Overflow and the rest of the sites that run on this platform do very well. As soon as you try to create a new ques开发者_运维技巧tion, a little window is shown tha
Given that I have two lists that each contain a separate subset of a common superset, is there an algorithm to give me a similarity measurement?
The function levenshtein in PHP works on strings with maximum length 255.What are good alternatives to compute a similarity score of sentences in PHP.
I\'m building a website that should collect various news feeds and would like the texts to be compared for similarity. What i need is some sort of a news text similarity algorithm.
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