DocumentCode
2580165
Title
Tutorial: Information retrieval
Author
Murthy, M. Narasimha
Author_Institution
Dept. of Comput. Sci. & Autom., Indian Inst. of Sci., Bangalore, India
fYear
2011
fDate
3-5 June 2011
Firstpage
1
Lastpage
1
Abstract
Information retrieval deals with organizing data in a structured form and providing a collection of documents as a response to a query of a user. Boolean model, the simplest model is designed to respect exact matching of the query in retrieving the documents. Vector Space model, a popular model permits approximate matches and also provides the documents in a ranked manner. In this tutorial, it is proposed to introduce the boolean model and the vector space model. The associated data structures and algorithms used in retrieval will be highlighted. There are several research topics in this area which include: compression of the index, using Zipf´s law, dimensionality reduction, knowledge-based information retrieval, and topic models. These topics will be discussed.
Keywords
Boolean algebra; data reduction; data structures; document handling; information retrieval; Boolean model; Zipf´s law; data structures; dimensionality reduction; document retrieval; exact matching; knowledge-based information retrieval; topic models; vector space model; Computational modeling; Computers; Google; Indexes; Information retrieval; Pattern clustering; Tutorials;
fLanguage
English
Publisher
ieee
Conference_Titel
Recent Trends in Information Technology (ICRTIT), 2011 International Conference on
Conference_Location
Chennai, Tamil Nadu
Print_ISBN
978-1-4577-0588-5
Type
conf
DOI
10.1109/ICRTIT.2011.5972505
Filename
5972505
Link To Document