1. bookVolume 9 (2019): Issue 1 (June 2019)
Journal Details
License
Format
Journal
eISSN
2067-354X
First Published
30 Jul 2019
Publication timeframe
2 times per year
Languages
English
access type Open Access

Suggest Recommendation for Library Users Using Graphs

Published Online: 20 Mar 2020
Volume & Issue: Volume 9 (2019) - Issue 1 (June 2019)
Page range: 41 - 51
Journal Details
License
Format
Journal
eISSN
2067-354X
First Published
30 Jul 2019
Publication timeframe
2 times per year
Languages
English
Abstract

The aim of this paper is to prove the usefulness of graphs in solving an ever-present problem for library users: finding books they like and they are looking for. Graphs are known as an important tool in solving conditioned optimization problems. We propose a graph-based system of recommendation which can be easy used in a library for assisting and helping users in finding in real time the books they like. The main advantage of the proposed graph-based approach lies in the ease with which new data or even new entities from different sources are added to the graph without disturbing the entire system. The system uses the similarity scores in order to find the similarity between objects and to get the best recommendation for a user’s request. In the end, we will compare the results from used formulas..

Keywords

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