{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/constructive-preference-elicitation-by","title":"Constructive Preference Elicitation by Setwise Max-margin Learning","arxiv_id":"1604.06020","date":"2016-04-20","proceeding":null,"authors":["Stefano Teso","Andrea Passerini","Paolo Viappiani"],"abstract":"In this paper we propose an approach to preference elicitation that is\nsuitable to large configuration spaces beyond the reach of existing\nstate-of-the-art approaches. Our setwise max-margin method can be viewed as a\ngeneralization of max-margin learning to sets, and can produce a set of\n\"diverse\" items that can be used to ask informative queries to the user.\nMoreover, the approach can encourage sparsity in the parameter space, in order\nto favor the assessment of utility towards combinations of weights that\nconcentrate on just few features. We present a mixed integer linear programming\nformulation and show how our approach compares favourably with Bayesian\npreference elicitation alternatives and easily scales to realistic datasets.","url_abs":"http://arxiv.org/abs/1604.06020v1","url_pdf":"http://arxiv.org/pdf/1604.06020v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"constructive-preference-elicitation-by","repo_url":"https://github.com/stefanoteso/setmargin","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}