Open Source Full Text Text Editors

Question

I am wondering if there are any good .NET recommendation algorithms available in open source projects, whether they are connected to a search engine or not. By recommendation, I mean that it accepts a full-text article and recommends other articles from its index based on the similarity of keywords.

At the upper end, there are document classification mechanisms such as Autonomy; on low-level spam filters and widgets for "related blog entries". Perhaps the correspondence between ads and articles. I would like to include it in the project, but I cannot afford a high level, and the lower end is apparently based on LAMP.

[Sorry, one answer asked for clarification: what I'm looking for is ideally a separate library, but I am ready to adapt good source code if necessary. As a result, I should be able to create a C # service that accepts an arbitrary amount of text and returns a list of similar previously indexed articles. In general, what StackOverflow does when you submit a question!]

Thanks! Steve

Answer 1

I think that in StackOverflow they extract all common English words from the text and then compare these words with the rest of the words of other messages to get “related” messages.

Answer 2

The question is not very clear (algorithm or library ???), but the only thing that comes to mind is Lucene.NET, porting the popular Lucene library to the .Net framework. NTN.