Neural-Network-based Metalearning for Distributed Text Information Retrieval

Author(s):  
Kin Keung Lai ◽  
Lean Yu ◽  
Shouyang Wang ◽  
Wei Huang
2020 ◽  
Vol 195 ◽  
pp. 105679
Author(s):  
Zongda Wu ◽  
Shigen Shen ◽  
Xinze Lian ◽  
Xinning Su ◽  
Enhong Chen

Author(s):  
Qiaozhu Mei ◽  
Dragomir Radev

This chapter is a basic introduction to text information retrieval. Information Retrieval (IR) refers to the activities of obtaining information resources (usually in the form of textual documents) from a much larger collection, which are relevant to an information need of the user (usually expressed as a query). Practical instances of an IR system include digital libraries and Web search engines. This chapter presents the typical architecture of an IR system, an overview of the methods corresponding to the design and the implementation of each major component of an information retrieval system, a discussion of evaluation methods for an IR system, and finally a summary of recent developments and research trends in the field of information retrieval.


1983 ◽  
Vol 6 (5) ◽  
pp. 165-172 ◽  
Author(s):  
F.N. Teskey

In this paper the existing functions of, and a number of future requirements for, information retrieval systems are dis cussed. Two basic requirements for free text information retri eval systems have been identified; one for a more general information modelling language and the other for a simple user interface for complex ad-hoc queries. The paper describes some existing and proposed hardware and software methods for implementing free text information retrieval systems. Emphasis is placed on methods of improving the functionality of the system rather than on methods of increasing the performance. It is suggested that considerable improvements can be achieved by a more imaginative use of existing hardware, though it is realised that special purpose architectures will play an increas ingly important role in information systems. The paper con cludes with a design for a new information retrieval system based on the use of the Binary Relationship Model for infor mation storage and retrieval, and an interactive graphical dis play for the user interface.


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