A Domain Classification-based Information Retrieval System

Author(s):  
Soumya Priyadarsini Panda ◽  
Jasaswi Prasad Mohanty
Author(s):  
Roberto Willrich ◽  
Rafael de Moura Speroni ◽  
Christopher Viana Lima ◽  
André Luiz de Oliveira Diaz ◽  
Sérgio Murilo Penedo

Author(s):  
Hanene Maghrebi ◽  
Amos David

Managing the increasing growth of multimedia content still poses some problems. The challenge is to propose relevant information to the users among the large volume of information available. The main idea that drives our approach is to provide an open information retrieval system, which can adapt its results to several…La gestion de l’information multimédia soulève encore quelques problèmes. Le défi est de pouvoir proposer à l’utilisateur des informations pertinentes parmi la quantité d’information qui ne cesse de s’accroître. Dans cette lignée, nous proposons un système ouvert de recherche d’information capable d’adapter ses résultats aux différents… 


1997 ◽  
Author(s):  
L. Rodney Long ◽  
Stanley R. Pillemer ◽  
Reva C. Lawrence ◽  
Gin-Hua Goh ◽  
Leif Neve ◽  
...  

2016 ◽  
Vol 48 (4) ◽  
pp. 340-352 ◽  
Author(s):  
William H. Walters

Although use statistics are often used in the assessment of library collections and services, they are of limited value in evaluating the library’s effectiveness as an information system. This essay highlights three concepts from the information retrieval literature—recall, precision, and relevance—and describes a standard of relevance that accounts for the learning goals of the academic community as well as the performance goals of students. It also demonstrates how the academic mission of the university can be incorporated into the assessment and management of the library as an information retrieval system. The discussion concludes with guidelines for the assessment of recall and precision as well as suggestions for the integration of these concepts into library collection development, cataloging/access, reference, and instruction.


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