{"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/image-based-recommendations-on-styles-and","title":"Image-based Recommendations on Styles and Substitutes","arxiv_id":"1506.04757","date":"2015-06-15","proceeding":null,"authors":["Julian McAuley","Christopher Targett","Qinfeng Shi","Anton Van Den Hengel"],"abstract":"Humans inevitably develop a sense of the relationships between objects, some\nof which are based on their appearance. Some pairs of objects might be seen as\nbeing alternatives to each other (such as two pairs of jeans), while others may\nbe seen as being complementary (such as a pair of jeans and a matching shirt).\nThis information guides many of the choices that people make, from buying\nclothes to their interactions with each other. We seek here to model this human\nsense of the relationships between objects based on their appearance. Our\napproach is not based on fine-grained modeling of user annotations but rather\non capturing the largest dataset possible and developing a scalable method for\nuncovering human notions of the visual relationships within. We cast this as a\nnetwork inference problem defined on graphs of related images, and provide a\nlarge-scale dataset for the training and evaluation of the same. The system we\ndevelop is capable of recommending which clothes and accessories will go well\ntogether (and which will not), amongst a host of other applications.","url_abs":"http://arxiv.org/abs/1506.04757v1","url_pdf":"http://arxiv.org/pdf/1506.04757v1.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":[],"tasks":[],"methods":[],"datasets_introduced":[{"slug":"amazon-clothing","name":"Amazon Clothing","full_name":"Amazon Clothing 5-core"},{"slug":"amazon-sports-1","name":"Amazon Sports","full_name":"Amazon Sports 5-core"},{"slug":"amazon-sports","name":"Amazon-Sports","full_name":"Amazon-Sports"}],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1506.04757","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}