{"id":9515,"date":"2021-09-13T15:19:49","date_gmt":"2021-09-13T13:19:49","guid":{"rendered":"https:\/\/kinit.sk\/publication\/exploring-customer-price-preference-and-product-profit-role-in-recommender-systems\/"},"modified":"2026-04-23T14:32:45","modified_gmt":"2026-04-23T12:32:45","slug":"exploring-customer-price-preference-and-product-profit-role-in-recommender-systems","status":"publish","type":"publication","link":"https:\/\/kinit.sk\/sk\/publikacia\/exploring-customer-price-preference-and-product-profit-role-in-recommender-systems\/","title":{"rendered":"Exploring Customer Price Preference and Product Profit Role in Recommender Systems"},"content":{"rendered":"<div id=\"\" class=\"element core-paragraph\">\n<p><strong>Kompan, M., Gaspar, P.<sup>1<\/sup>, Macina, J.<sup>2<\/sup>, Cimerman, M.<sup>2<\/sup>, Bielikova, M.<\/strong><\/p>\n<\/div>\n\n<div id=\"\" class=\"element core-paragraph\">\n<p class=\"has-small-font-size\"><em><sup>1<\/sup> Faculty of Informatics and Information Technologies, Slovak University of Technology in Bratislava<br><sup>2<\/sup> Exponea<\/em><\/p>\n<\/div>\n\n<div id=\"\" class=\"element core-paragraph\">\n<p>Most of the research in the recommender systems domain is focused on the optimization of the metrics based on historical data such as Mean Average Precision (MAP) or Recall. However, there is a gap between the research and industry since the leading Key Performance Indicators (KPIs) for businesses are revenue and profit. In this paper, we explore the impact of manipulating the profit awareness of a recommender system. An average e-commerce business does not usually use a complicated recommender algorithm. We propose an adjustment of a predicted ranking for score-based recommender systems and explore the effect of the profit and customers&#8216; price preferences on two industry datasets from the fashion domain. In the experiments, we show the ability to improve both the precision and the generated recommendations&#8216; profit. Such an outcome represents a win-win situation when e-commerce increases the profit and customers get more valuable recommendations.<\/p>\n<\/div>\n\n<div id=\"\" class=\"element core-paragraph\">\n<p>Cite:  Kompan, M., Gaspar, P., Macina, J., Cimerman, M., Bielikova, M. Exploring Customer Price Preference and Product Profit Role in Recommender Systems. IEEE Intelligent Systems (2021). DOI: <a href=\"https:\/\/doi.org\/10.1109\/MIS.2021.3092768\" target=\"_blank\" rel=\"noreferrer noopener\">10.1109\/MIS.2021.3092768<\/a><\/p>\n<\/div>","protected":false},"featured_media":0,"template":"","meta":{"_acf_changed":false,"footnotes":""},"categories":[78,82,236],"class_list":["post-9515","publication","type-publication","status-publish","hentry","category-web-user-data-processing-sk","category-2021-sk","category-bielikovam-sk"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Exploring Customer Price Preference and Product Profit Role in Recommender Systems - KInIT<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/kinit.sk\/sk\/publikacia\/exploring-customer-price-preference-and-product-profit-role-in-recommender-systems\/\" \/>\n<meta property=\"og:locale\" content=\"sk_SK\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Exploring Customer Price Preference and Product Profit Role in Recommender Systems - KInIT\" \/>\n<meta property=\"og:description\" content=\"Kompan, M., Gaspar, P.1, Macina, J.2, Cimerman, M.2, Bielikova, M. 1 Faculty of Informatics and Information Technologies, Slovak University of Technology in Bratislava2 Exponea Most of the research in the...\" \/>\n<meta property=\"og:url\" content=\"https:\/\/kinit.sk\/sk\/publikacia\/exploring-customer-price-preference-and-product-profit-role-in-recommender-systems\/\" \/>\n<meta property=\"og:site_name\" content=\"KInIT\" \/>\n<meta property=\"article:modified_time\" content=\"2026-04-23T12:32:45+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/kinit.sk\/wp-content\/uploads\/2021\/03\/KINIT_Sharepic.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1200\" \/>\n\t<meta property=\"og:image:height\" content=\"628\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:site\" content=\"@kinit\" \/>\n<meta name=\"twitter:label1\" content=\"Predpokladan\u00fd \u010das \u010d\u00edtania\" \/>\n\t<meta name=\"twitter:data1\" content=\"1 min\u00fata\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/kinit.sk\\\/sk\\\/publikacia\\\/exploring-customer-price-preference-and-product-profit-role-in-recommender-systems\\\/\",\"url\":\"https:\\\/\\\/kinit.sk\\\/sk\\\/publikacia\\\/exploring-customer-price-preference-and-product-profit-role-in-recommender-systems\\\/\",\"name\":\"Exploring Customer Price Preference and Product Profit Role in Recommender Systems - 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