bhaprayan

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bhaprayan · 854d ago

thanks! yes, us too! our next steps our to prioritize and build some features & ideas we had in the process of working on this over the past 24h.

bhaprayan · 854d ago

haha thanks! agreed, sort of is, but that's why we're trying to ensure strict privacy. we're users of this too ;)

bhaprayan · 854d ago

that's a good idea! a quick search yielded that they don't yet have an API for that (https://forums.developer.amazon.com/questions/196052/ability-to-read-kindle-data-via-a-public-api-end-p.html). would need further exploring on how to pull data in a convenient way from the Kindle, does seem like a useful feature to add though!

bhaprayan · 854d ago

haha thanks! for sure, that's the goal ;)
it's time someone displaced the incumbent, i for one, think their UI is an eye sore

bhaprayan · 854d ago

thanks! for sure :)
at the moment everything happens on the client side (i.e. no data is leaving your browser). in the future we're planning to move over to running more recent deep learning based topic models, in which case we're thinking of porting over to differential privacy mechanisms to avoid any user association. else, we could run model inference in the browser too (using tensorflow.js for example), but the efficiency of that approach is still unclear. perhaps if we generate recommendations asynchronously (like once an hour or so), that could warrant periodically running model inference in the browser (this would be complicated by reduction in end user performance though if not done right). needs more thought!

bhaprayan · 854d ago

this is a good idea :)
we don't current have strong metrics as to why a current book has been recommended. perhaps we'd have better tools for attribution once we move over to separating out the logic for topic models into its' own module. we were originally planning to go the deep learning route, and perform model inference through a dedicated server, but have deferred that plan for now (due to time constraints + the need to put more thought into ensuring search history privacy (i.e. using DP), in the event of data transmission)

bhaprayan · 854d ago

sweet! this would be super fun to use :D

bhaprayan · 854d ago

this is nice :) any thoughts on extending using better summarization models?

bhaprayan · 854d ago

good idea, especially with the ongoing situation, it'd be nice to have this type of accountability :)

bhaprayan · 854d ago

haha this is a nice idea :) how do you analyze the emotion feel?