scholarly journals Design and Implementation of Related Literature Recommendation in Nstl Literature Retrieval System

2020 ◽  
Keyword(s):  
Retrieval System ◽  
Related Literature ◽  
Design And Implementation

Design and Implementation of a Context-Based Media Retrieval System

2012 ◽  
pp. 218-225 ◽  
Author(s):  
Liang Zhao ◽  
Tangjian Deng ◽  
Hao Wang ◽  
Qingwei Liu ◽  
Ling Feng
Keyword(s):  
Retrieval System ◽  
Design And Implementation

A Database Project in a Small Company (or How the Real World Doesn't Always Follow the Book)

2009 ◽  
pp. 468-483
Author(s):  
Efrem Mallach
Keyword(s):  
Information Retrieval ◽  
Real World ◽  
Retrieval System ◽  
Information Retrieval System ◽  
Small Company ◽  
The Real ◽  
Design And Implementation ◽  
Development Methods

The case study describes a small consulting company’s experience in the design and implementation of a database and associated information retrieval system. Their choices are explained within the context of the firm’s needs and constraints. Issues associated with development methods are discussed, along with problems that arose from not following proper development disciplines.

scholarly journals IMPLEMENTASI ALGORITMA FP-GROWTH UNTUK SISTEM REKOMENDASI BUKU DI PERPUSTAKAAN UKDW

2015 ◽  
Vol 10 (1) ◽  
Author(s):  
Rama Novta Miraldi ◽  
Antonius Rachmat Christanto ◽  
Budi Susanto
Keyword(s):  
Retrieval System ◽  
Related Topic ◽  
Main Design ◽  
Design And Implementation

The number of collections in a library will be increase along with the growth of the library. The Library of Universitas Kristen Duta Wacana (UKDW) also has a large number-of books collection in order to provide literature and resources service to students. Wen the number of collection is very large, we need a retrieval system that will help anyone to find the needed resoLtrces. This system has a recommendation feature to provide related books or resources. This feature will help users to find similar literature/resources or related topic with what they need. This paper will describe about the main design and implementation of the book recommendation based on FP-Growth algorithm. Based on the experiments, this system can provide 60.78% of accuracy for related books recommendation.

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