▲ ▼ Keeping the things I like with me
Netflix knows what type of movies I like, Amazon knows which brands I like to purchase from, DoorDash knows what I like to eat and Google knows everything there is to know about me; But I would like to know, keep track of it what I like with me and offer it to services as and when needed.
There's not much to worry about if these services use their recommendation system only to deliver what we need as a consumer, But after learning what we like the recommendation system is used for their advantage to sell what they want to us(those with more markup), even if there's a better option for us available in their platform.
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A personal recommendation system which constantly trains locally on data from our day-today activities and offers the model on demand to the services seems like an straightforward way to address this need-gap.Our smartphones are capable enough for this purpose, As they are already being used for training models but the barrier would be to access our activities on other platforms due to the closed nature of apps, smartphone OS and zero interoperability. Web may not be as constrained, So I don't see a a major constraint in developing an add-on which tracks activities on demand and stores the data locally.But large platforms do provide some way to export our bulk data for legal compliance and perhaps this might be an easier way to fetch our data for training.reply I WILL PAY FOR THAT