{"id":579,"date":"2024-09-25T18:56:21","date_gmt":"2024-09-25T18:56:21","guid":{"rendered":"https:\/\/textbook.mediasmarts.ca\/navigatingstudent\/chapter\/reinventing-recommendations\/"},"modified":"2025-07-04T18:00:25","modified_gmt":"2025-07-04T18:00:25","slug":"reinventing-recommendations","status":"publish","type":"chapter","link":"https:\/\/textbook.mediasmarts.ca\/navigatingstudent\/chapter\/reinventing-recommendations\/","title":{"raw":"Reinventing Recommendations","rendered":"Reinventing Recommendations"},"content":{"raw":"You've learned what you can do now <\/strong>to train the algorithms that apps already use.\n\nNow let's think about how those algorithms should <\/strong>work.\n\nUsing the form below, write down either a type of app (for example, a video app, a social network, or a search engine) or an app that already exists (YouTube, Instagram, Google, etc.)\n\nThen:\n
\n

Optmization Goals\n<\/strong><\/p>\n\n<\/header>\n

\n\nWrite down at least three <\/strong>optimization goals you think the algorithm should have. These do not <\/strong>have to be optimization goals we talked about in class.\n\nRank these optimization goals by weight <\/strong>(how important they are to the algorithm's ranking.)\n\nFor each goal, explain why you chose it and why you gave it that rank.\n\n<\/div>\n<\/div>\nNext:\n
\n

Inputs<\/strong><\/p>\n\n<\/header>\n

\n\nWrite down at least three <\/strong>inputs you think the algorithm should pay attention to. These do not <\/strong>have to be inputs we discussed in class. They can be any way that a user can send information to the algorithm.\n\nFor each one, identify whether it is an explicit <\/strong>or an implicit <\/strong>input and explain why you think the algorithm should pay attention to it<\/strong>.\n\n<\/div>\n<\/div>\nWhen you have listed and explained at least three optimization goals <\/strong>and three<\/strong> inputs<\/strong>, go to the \"Done\" page and click or tap \"Create document.\"\n\nYou can click or tap Select to copy it and paste it into an email or a Google Doc, or click or tap Export to make a Word document that you can download.\n\n[h5p id=\"95\"]\n\n ","rendered":"

You’ve learned what you can do now <\/strong>to train the algorithms that apps already use.<\/p>\n

Now let’s think about how those algorithms should <\/strong>work.<\/p>\n

Using the form below, write down either a type of app (for example, a video app, a social network, or a search engine) or an app that already exists (YouTube, Instagram, Google, etc.)<\/p>\n

Then:<\/p>\n

\n
\n

Optmization Goals
\n<\/strong><\/p>\n<\/header>\n

\n

Write down at least three <\/strong>optimization goals you think the algorithm should have. These do not <\/strong>have to be optimization goals we talked about in class.<\/p>\n

Rank these optimization goals by weight <\/strong>(how important they are to the algorithm’s ranking.)<\/p>\n

For each goal, explain why you chose it and why you gave it that rank.<\/p>\n<\/div>\n<\/div>\n

Next:<\/p>\n

\n
\n

Inputs<\/strong><\/p>\n<\/header>\n

\n

Write down at least three <\/strong>inputs you think the algorithm should pay attention to. These do not <\/strong>have to be inputs we discussed in class. They can be any way that a user can send information to the algorithm.<\/p>\n

For each one, identify whether it is an explicit <\/strong>or an implicit <\/strong>input and explain why you think the algorithm should pay attention to it<\/strong>.<\/p>\n<\/div>\n<\/div>\n

When you have listed and explained at least three optimization goals <\/strong>and three<\/strong> inputs<\/strong>, go to the “Done” page and click or tap “Create document.”<\/p>\n

You can click or tap Select to copy it and paste it into an email or a Google Doc, or click or tap Export to make a Word document that you can download.<\/p>\n

\n