Recursos

Abaixo encontra-se uma lista de recursos relacionados com a área da recuperação de informação, em particular ferramentas de software utilizadas no desenvolvimento de sistemas recuperação de informação.

• Livros, outros cursos, conferências e recursos.
• RankLib, a library of learning to rank algorithms.
• Lucene, an open-source, mature and high-performance retrieval engine in Java.
• Luke, a development and diagnostic tool for accessing and managing Lucene indexes.
• LingPipe, a toolkit for processing text using techniques from computational linguistics.
• Stanford Core NLP, a set of natural language analysis tools.
• OBSearch, a general similarity search engine.
• Managing Gigabytes for Java, a free full-text search engine for large document collections written in Java.
• WebGraph, a framework to study Web graphs.
• TREC eval, a program to evaluate IR system results using the standard TREC evaluation procedures. 
• Weka, a general machine learning framework (see the tutorial on text classification)
• Scikit-learn, a machine learning library in Python.
• NLTK, a platform for building Python programs to work with human language data.
• PyLucene, a Python extension for accessing Lucene's text indexing and searching capabilities