{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T23:38:24Z","timestamp":1761176304985,"version":"build-2065373602"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643686318","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,10,21]],"date-time":"2025-10-21T00:00:00Z","timestamp":1761004800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,10,21]]},"abstract":"<jats:p>Understanding user behavior patterns from clickstream data is critical for improving e-commerce decision-making. In this study, we propose a novel visualization framework called SankeyX that connects user interaction sequences, model predictions, SHAP-based feature attributions, and business utility into a unified Sankey-style diagram. It enables users to trace how behavioral patterns contribute to model outcomes and assess their financial impact by a utility matrix. In the case study, we also demonstrate its ability to reveal dominant purchasing patterns by using a real world dataset. This method bridges the gap between explainable AI and decision-making for clickstream prediction.<\/jats:p>","DOI":"10.3233\/faia251435","type":"book-chapter","created":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T10:02:29Z","timestamp":1761127349000},"source":"Crossref","is-referenced-by-count":0,"title":["Visualizing Clickstream Prediction Logic and Utility"],"prefix":"10.3233","author":[{"given":"Danny Yu-Chung","family":"Wang","sequence":"first","affiliation":[{"name":"Western Norway University of Applied Sciences, Bergen, Norway"}]},{"given":"Lars Arne","family":"Jordanger","sequence":"additional","affiliation":[{"name":"Western Norway University of Applied Sciences, Bergen, Norway"}]},{"given":"Jerry Chun-Wei","family":"Lin","sequence":"additional","affiliation":[{"name":"Western Norway University of Applied Sciences, Bergen, Norway"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","ECAI 2025"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA251435","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T10:02:29Z","timestamp":1761127349000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA251435"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,21]]},"ISBN":["9781643686318"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia251435","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,10,21]]}}}