{"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/personalization-in-goal-oriented-dialog","title":"Personalization in Goal-Oriented Dialog","arxiv_id":"1706.07503","date":"2017-06-22","proceeding":null,"authors":["Chaitanya K. Joshi","Fei Mi","Boi Faltings"],"abstract":"The main goal of modeling human conversation is to create agents which can\ninteract with people in both open-ended and goal-oriented scenarios. End-to-end\ntrained neural dialog systems are an important line of research for such\ngeneralized dialog models as they do not resort to any situation-specific\nhandcrafting of rules. However, incorporating personalization into such systems\nis a largely unexplored topic as there are no existing corpora to facilitate\nsuch work. In this paper, we present a new dataset of goal-oriented dialogs\nwhich are influenced by speaker profiles attached to them. We analyze the\nshortcomings of an existing end-to-end dialog system based on Memory Networks\nand propose modifications to the architecture which enable personalization. We\nalso investigate personalization in dialog as a multi-task learning problem,\nand show that a single model which shares features among various profiles\noutperforms separate models for each profile.","url_abs":"http://arxiv.org/abs/1706.07503v3","url_pdf":"http://arxiv.org/pdf/1706.07503v3.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":"personalization-in-goal-oriented-dialog","repo_url":"https://github.com/chaitjo/personalized-dialog","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok","spdx":"MIT"}}],"tasks":[{"task_slug":"goal-oriented-dialog","task_name":"Goal-Oriented Dialog"},{"task_slug":"multi-task-learning","task_name":"Multi-Task Learning"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1706.07503","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}