{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/04b6ff11659142c7b20b5fb128cda4b4\" frameborder=\"0\" width=\"1232\" height=\"924\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":924,"width":1232,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":924,"thumbnail_width":1232,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/04b6ff11659142c7b20b5fb128cda4b4-b7f21172a6b9a08b.gif","duration":431.152,"title":"Outfindo","description":"In this video, I share some thoughts on how we can improve your recommendation system. I believe that starting from the user's problem rather than just product characteristics could lead to better results. I provide examples using TVs, bikes, and phones to illustrate how focusing on tasks can clarify the selection process. I also suggest that we could educate users about different categories in a more effective way. Please consider these suggestions and let me know your thoughts!"}