{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T12:15:10Z","timestamp":1775564110164,"version":"3.50.1"},"reference-count":22,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T00:00:00Z","timestamp":1772236800000},"content-version":"vor","delay-in-days":58,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001871","name":"FCT","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001871","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Procedia Computer Science"],"published-print":{"date-parts":[[2026]]},"DOI":"10.1016\/j.procs.2026.02.433","type":"journal-article","created":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T12:39:40Z","timestamp":1774355980000},"page":"19-26","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["GiftMatch: An AI-Powered Web Application for Personalized Gift Suggestions"],"prefix":"10.1016","volume":"278","author":[{"given":"Diana Manuela","family":"Costa","sequence":"first","affiliation":[]},{"given":"Ant\u00f3nio Jorge","family":"Gouveia","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.procs.2026.02.433_bib1","unstructured":"Li, Q., et al. (2023). \"Agents as Simulated Humans in Recommendation: A Generative Approach.\" arXiv preprint arXiv:2310.10108."},{"key":"10.1016\/j.procs.2026.02.433_bib2","unstructured":"Xu, C., et al. (2023). \"AIGC4Rec: Advancing Recommender Systems with Multi-Modal AI-Generated Content.\" arXiv preprint arXiv:2304.03516."},{"key":"10.1016\/j.procs.2026.02.433_bib3","series-title":"Introduction to Recommender Systems Handbook. Recommender Systems Handbook","author":"Ricci","year":"2011"},{"key":"10.1016\/j.procs.2026.02.433_bib4","unstructured":"Zhang, Y., Y. Sun, and S. Li (2023) Generative Recommender Systems: A Taxonomy and Survey."},{"issue":"4","key":"10.1016\/j.procs.2026.02.433_bib5","first-page":"210","article-title":"\"The effect of personalized recommendation on online gift purchase intention\"","volume":"18","author":"Jae-Hwa","year":"2017","journal-title":"Journal of Electronic Commerce Research"},{"issue":"7","key":"10.1016\/j.procs.2026.02.433_bib6","first-page":"654","article-title":"\"Gender differences in gift recommendation systems: A user study\"","volume":"36","author":"Smith","year":"2020","journal-title":"International Journal of Human-Computer Interaction"},{"key":"10.1016\/j.procs.2026.02.433_bib7","series-title":"Large Language Models for Personalized Recommendation: Opportunities and Challenges","author":"Liu","year":"2023"},{"key":"10.1016\/j.procs.2026.02.433_bib8","unstructured":"Zhou, K., X. Chen, and Y. Zhang (2023). \"Discriminative and Generative Paradigms in Recommender Systems with LLMs.\" ACM Transactions on Information Systems."},{"key":"10.1016\/j.procs.2026.02.433_bib9","unstructured":"Xu, C., et al. (2023) AIGC4Rec: Advancing Recommender Systems with Multi-Modal AI-Generated Content."},{"key":"10.1016\/j.procs.2026.02.433_bib10","unstructured":"Li, Q., et al. (2023) Agents as Simulated Humans in Recommendation: A Generative Approach."},{"key":"10.1016\/j.procs.2026.02.433_bib11","unstructured":"Sun, Y., H. Zhao, and L. Wu (2023) Conversational Recommender Systems with Generative AI: A Survey."},{"key":"10.1016\/j.procs.2026.02.433_bib12","unstructured":"Kenter, T., M. de Rijke, and K. Balog (2023) On Scaling Large Language Models for Real-Time Recommendations."},{"key":"10.1016\/j.procs.2026.02.433_bib13","unstructured":"Chen, M., W. Lee, and Y. Zhang (2022). \"Responsible AI in Recommendation Systems: A Survey.\" ACM Computing Surveys."},{"key":"10.1016\/j.procs.2026.02.433_bib14","unstructured":"Vellido, A., D.F. Silva, and M.A.T. Figueiredo (2023). \"Ethical AI and Recommendation Systems: A Systematic Review.\" AI & Society."},{"key":"10.1016\/j.procs.2026.02.433_bib15","unstructured":"Huang, J., H. Xu, and R. Zeng (2023). \"AI-Powered Recommendation Engines in the Real World.\" Journal of Intelligent Systems."},{"key":"10.1016\/j.procs.2026.02.433_bib16","doi-asserted-by":"crossref","unstructured":"Lutfiani, N., et al. (2022). Artificial Intelligence Based on Recommendation System for Startup Matchmaking Platform. 2022 IEEE Creative Communication and Innovative Technology (ICCIT).","DOI":"10.1109\/ICCIT55355.2022.10118708"},{"key":"10.1016\/j.procs.2026.02.433_bib17","first-page":"115678","article-title":"\"Hybrid approaches for personalized gift recommender systems\"","volume":"185","author":"Pereira","year":"2022","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.procs.2026.02.433_bib18","unstructured":"Lin, Y., Q. Zhang, and L. Wang (2019). AI-powered gift wrapping optimization using computer vision. Proceedings of the 2019 International Conference on Artificial Intelligence."},{"key":"10.1016\/j.procs.2026.02.433_bib19","doi-asserted-by":"crossref","unstructured":"Tan, J., et al. (2024). Idgenrec: Llm-recsys alignment with textual id learning. Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval.","DOI":"10.1145\/3626772.3657821"},{"key":"10.1016\/j.procs.2026.02.433_bib20","unstructured":"Liu, Y., et al. (2025). \"LLM-Alignment Live-Streaming Recommendation.\" arXiv preprint arXiv:2504.05217."},{"issue":"2","key":"10.1016\/j.procs.2026.02.433_bib21","first-page":"12","article-title":"\"Trust building in recommender systems: An empirical analysis\"","volume":"11","author":"Chen","year":"2021","journal-title":"ACM Transactions on Interactive Intelligent Systems"},{"key":"10.1016\/j.procs.2026.02.433_bib22","first-page":"120297","article-title":"\"Counterfactual Explanation for Recommender Systems with Textual Rationale Generation\"","volume":"227","author":"Ranjbar","year":"2023","journal-title":"Expert Systems with Applications"}],"container-title":["Procedia Computer Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1877050926005545?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1877050926005545?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T11:35:59Z","timestamp":1775561759000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1877050926005545"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":22,"alternative-id":["S1877050926005545"],"URL":"https:\/\/doi.org\/10.1016\/j.procs.2026.02.433","relation":{},"ISSN":["1877-0509"],"issn-type":[{"value":"1877-0509","type":"print"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"GiftMatch: An AI-Powered Web Application for Personalized Gift Suggestions","name":"articletitle","label":"Article Title"},{"value":"Procedia Computer Science","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.procs.2026.02.433","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 The Author(s). Published by Elsevier B.V.","name":"copyright","label":"Copyright"}]}}