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                <identifier>ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai:1:3139</identifier>
                <datestamp>2015-07-01T08:01:54Z</datestamp>
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                    <dim:field mdschema="dc" element="title" lang="en">The evaluation of the appeal of website designs to a target group, with the aid of artificial neural network software</dim:field>
                    <dim:field mdschema="dc" element="date" qualifier="issued">2015</dim:field>
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                    <dim:field mdschema="dc" element="identifier" qualifier="uri">http://portal.synthesis.singidunum.ac.rs/Media/files/2015/27-31.pdf</dim:field>
                    <dim:field mdschema="dc" element="contributor" qualifier="author" authority="orcid::0000-0002-2030-7785" confidence="-1">M. Tair</dim:field>
                    <dim:field mdschema="dc" element="contributor" qualifier="author" authority="id:10398" confidence="-1">M. Petrović</dim:field>
                    <dim:field mdschema="dc" element="description" qualifier="abstract">In this paper, we present a method of using an artificial neural network to evaluate the appeal of website design and layout to members of a target group, where the design is defined by predefined parameters that describe section properties. We have trained the neural network with a training set based on survey participants&amp;apos; website design evaluations. For this project’s implementation, we have utilized an open source JavaScript library for the neural network simulation and an own implementation of a dynamic website preview generator. The paper presents a derivative application that uses the trained neural network to generate suggested designs and their feature parameters that are likely to be appealing to members of the target group matching surveyed participants.</dim:field>
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