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<p style="text-align:justify;">The aim of the paper is to present a study as the implementation of the author’s Algorithm of&nbsp;the Recommendation Sessions ARS in an operating e‐commerce information system and to&nbsp;analyse basic parameters of the recommendation system created as a result of the&nbsp;implementation. The first part of the study contains a synthetic description of the area of&nbsp;recommendation systems. The next section presents the proprietary ARS recommendation&nbsp;algorithm based on recommendation sessions. The third part of the paper describes the&nbsp;mathematical model of the recommendation session built on the basis of the theory of graphs&nbsp;and networks, which such model makes the input data for the algorithm in question. The next&nbsp;part of the publication describes the possibilities of representing graph structures and the&nbsp;method of implementing a G graph (constituting a set of the recommendation session) in a&nbsp;relational database. The implementation of the ARS algorithm, based on the SQL standard, was&nbsp;also presented. The implementations in question have been developed on the basis of a&nbsp;working information system of the e‐commerce class. As a result of the implementation of the&nbsp;algorithm, a fully functional recommendation system was created, which can be adapted to&nbsp;various e‐commerce IT systems. The positive result of the work was confirmed by the research&nbsp;on the parameters of the recommendation system, included in the last part of the study.</p>

Implementation of Recommendation Algorithm based on Recommendation Sessions in E-commerce IT System

Original Research 

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