An Overview of Online Information Retrieval Systems

2021 ◽  
pp. 1-12
Author(s):  
Christine L. Borgman ◽  
Dineh Moghdam ◽  
Patti K. Corbett
Keyword(s):  
Information Retrieval ◽  
Online Information ◽  
Retrieval Systems ◽  
Information Retrieval Systems

Online Information Retrieval Systems Trending From Evolutionary to Revolutionary Approach

2019 ◽  
pp. 303-317
Author(s):  
Zahid Ashraf Wani ◽  
Huma Shafiq
Keyword(s):  
Information Retrieval ◽  
Information Needs ◽  
Online Information ◽  
Retrieval Systems ◽  
Diverse Species ◽  
Different Types ◽  
The Future ◽  
Information Retrieval Systems ◽  
Information Professionals ◽  
The Web

Nowadays, we all rely on cyberspace for our information needs. We make use of different types of search tools. Some of them have specialization in a specific format or two, while few can crawl a good portion of the web irrespective of formats. Therefore, it is very imperative for information professionals to have thorough understandings of these tools. As such, the chapter is an endeavor to delve deep and highlight various trends in online information retrieval from primitive to modern ones. The chapter also made an effort to envisage the future requirements and expectation keeping in view the ever-increasing dependence on diverse species of information retrieval tools.

scholarly journals Conflation Methods in Stemming Algorithm

2019 ◽  
Vol 8 (11S) ◽  
pp. 1176-1180
Keyword(s):  
Information Retrieval ◽  
Source Code ◽  
Online Information ◽  
Source Information ◽  
Retrieval Systems ◽  
Information Retrieval Systems ◽  
The Given ◽  
Investigation Process ◽  
Examination Process ◽  
The Web

We began the domain examination process by social occasion source information. We gathered distributed papers in the conflation algorithms branch of knowledge as domain archives and the source code of conflation algorithms for system engineering examination. In the wake of building skill about the conflation algorithms domain, we rounded out system portrayal surveys for every last one of these algorithms. Imperative segments of our domain investigation process are in the accompanying subsections. With the gigantic measure of information accessible on the web, it is extremely fundamental to recover precise information for some client inquiry. There are heaps of methodologies used to expand the adequacy of online information retrieval. The conventional methodology used to recover information for some client question is to search the reports present in the corpus word by word for the given inquiry. This methodology is extremely tedious and it might miss a portion of the related records of equivalent significance. Therefore to stay away from these circumstances, Stemming has been broadly utilized in different Information Retrieval Systems to build the retrieval exactness

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