[ Main search page ] [ Catalog admin ] [ Login ]

Top level / English
Example: "information retrieval"
Search catalogue:
This catalog in: ru|de

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

Algorithms (50)
Approximate (fuzzy) Searching (22), Compression (10), Data Structures (17) , ...
Anti-spam techniques (3)
 
Architecture (16)
 
Books (9)
 
Classification (22)
 
Cluster analysis (7)
 
Community (83)
Associations, Foundations, and Societies (6), Blogs (14), Conferences (1) , ...
Computational Biology (5)
 
Data Sets and Test Collections (5)
 
Hypertext systems (13)
Crawling WWW (1), GeoTagging (1), Link Popularity and Citation Index (8)
Information Extraction (3)
 
Machine learning (13)
Decision trees (0), k-Nearest Neighbor (0), Linear discriminant analysis (0) , ...
Machine translation (5)
 
Multimedia Information Retrieval (5)
 
Natural Language Processing and Computational Linguistics (17)
Syntaxic parsers (8)
Social Search (3)
 
Software (69)
Generic Machine Learning (21), Morphology and Stemming (2), Parsers (4) , ...
Spellchecking (9)
 
Text Retrieval (61)
Automatic thesaurus construction (3), Caching (3), Cross Language Information Retrieval (CLIR) (2) , ...
  


Information Retrieval in Open Directory   -
Modern Information Retrieval: A Brief Overview  Amit Singhal - A popular and brief review of modern information retrieval approaches.
Recommended Reading for IR Research Students  Alistair Moffat, Justin Zobel, David Hawking - Prior to the workshop, participants at SWIRL were asked to provide two nominations, with supporting argument, for a corpus of “must read” papers that IR graduate students should be familiar with. Attendees chose papers that represented key breakthroughs,or represented work undertaken to a particularly high standard, or that presented established material in an innovative or accessible manner. The results are, we believe, illuminating and thoughtprovoking.
Search Engine History   - History of search engines from 1945 to 2007.

If you have any questions and suggestions feel free to contact us