English»Classic Information Retrieval | searchivarius.org
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Information retrieval (IR) is the science of searching for information in documents, searching for documents themselves, searching for metadata which describe documents, or searching within databases, whether relational stand-alone databases or hypertext networked databases such as the Internet or intranets, for text, sound, images or data. There is a common confusion, however, between data retrieval, document retrieval, information retrieval, and text retrieval, and each of these have their own bodies of literature, theory, praxis and technologies. Read more


Approximate Fulltext String Searching
 

Automatic thesaurus construction
 

Caching
 

Cross Language Information Retrieval (CLIR)
 

Duplicate Detection
 

Dynamic & static pruning
 

Evaluation
 

Hypertext systems
Link Popularity and Citation Index, Entity linking

Indexing Techniques
Efficient Intersection of Inverted Lists, Various performance aspects, Inverted vs Signature Files...

IR (language) models
Temporal Models

Learning to rank
Direct Optimization of IR Metrics

Meta and Federated Search
 

Modelling Score Distribution
 

Morphology and Stemming
 

Proximity scoring and Phrase Indexing
 

Query Reformulation, Expansion, and Autocompletion
 

Question Answering
 

Recommendations
 

Search Engines
Crawlers, Forward & Graph Indices, Indri & Lemur...

Shallow Semantics
 

Tutorials
 

User Behavior Analysis
 

  


Apache Lucene 4 (white paper)  Andrzej Białecki, Robert Muir, Grant Ingersol
Managing Gigabytes (second edition)  Ian H. Witten, Alistair Moffat, Timothy C. Bell - Compressing and Indexing Documents and Images
Relevance: The Whole History  Stefano Mizzaro
The Fundumentals of Enterprise Search  Avi Rappoport