Hi Ruaridh, Thank you, this is amazing! Whats really interesting to me are certain ingredients do have semantically similar SDR's. So it would seem probable that the CLA could predict new semantically similar ingredients. The idea of appending other factors (chemical compounds) unique to each ingredient is also very fascinating!
I wonder if there are several approaches here. Could we just have the CLA learn these associations to each ingredient? i.e."carrot to butylmethoxypyrazine <http://www.flavornet.org/info/24168-70-5.html>" or is it best to create a completely new SDR? Does anyone have any thoughts on this? Also while looking further into the flavornet database [1]. Despite the name ,it looks like these are gas compounds or odors identified using gas chromatography. I'm not familiar in this arena of food, but it seems these odorants actually effect flavor? [1] http://www.flavornet.org/flavornet.html Thank you, Matt On Thu, Apr 10, 2014 at 9:00 AM, <[email protected]> wrote: > Send nupic mailing list submissions to > [email protected] > > To subscribe or unsubscribe, visit > http://lists.numenta.org/mailman/listinfo/nupic_lists.numenta.org > or, via email, send a message with subject or body 'help' to > [email protected] > > You can reach the person managing the list at > [email protected] > > When replying, please edit your Subject line so it is more specific > than "Re: Contents of nupic digest..." > > > Today's Topics: > > 1. Re: Food Classification/ Ingredient Prediction (Ruaridh O'Donnell) > > > ---------------------------------------------------------------------- > > Message: 1 > Date: Thu, 10 Apr 2014 15:51:12 +0100 > From: "Ruaridh O'Donnell" <[email protected]> > To: "NuPIC general mailing list." <[email protected]> > Subject: Re: [nupic-discuss] Food Classification/ Ingredient > Prediction > Message-ID: > < > cap9kvsswcrfosqkc02cvwssw4hiyfr2ukawrx1fshz9gtnb...@mail.gmail.com> > Content-Type: text/plain; charset="iso-8859-1" > > Hello, > Your idea of food interested me. I know a bit about food so I thought I'd > share some thoughts. > > Trying this out would be pretty interesting. I think it would work. I'm > most excited by the prospect of creating new recipes using this. > I tried typing in various foods into the CEPT > demo<http://www.cept.at/demo_context_browser.html> [1] > and it matches foods reasonably well. So if you were to try generating new > recipes then I think you'd get some sensible food combinations. > > However there might be a way of making this even better. > People have created large databases of > foods< > http://flavorscience.net/blog/view/175/flavor_chemistry_databases_on_line> > [2], > listing the flavour compounds they contain. I've read about a chef who used > them to discover new food combinations. For example he found that caviar > and white chocolate go well > together< > http://www.theguardian.com/lifeandstyle/2002/may/04/foodanddrink.shopping > >because > they both contain a similar set of flavour compounds [3]. It might > be possible to somehow append these details onto a CEPT SDR. > > Hopefully this information would lead to better food combinations. For > example apples and rose go well together because of their similarities in > flavour. However carrots and bananas don't go well together despite being > having similarities in shape. > > Unfortunately most of these databases are behind big pay walls but I did > find a free (but less detailed) one > here<http://www.flavornet.org/flavornet.html> (see > the "Odors" tab) [4]. > > > [1] - http://www.cept.at/demo_context_browser.html > [2] - > http://flavorscience.net/blog/view/175/flavor_chemistry_databases_on_line > [3] - > http://www.theguardian.com/lifeandstyle/2002/may/04/foodanddrink.shopping > [4] - http://www.flavornet.org/flavornet.html > > > Ruaridh > > > On Thu, Apr 10, 2014 at 6:17 AM, Chetan Surpur <[email protected]> wrote: > > > Hi Matt, > > > > This indeed sounds like a great fit for NuPIC and CEPT. Check out Fluent > > (webapp [1], server-based API [2], Python library [3]), it was made for > > this! > > > > [1] http://fluent.cept.at/ > > [2] https://github.com/numenta/nupic.fluent.server > > [3] https://github.com/numenta/nupic.fluent > > > > - Chetan > > > > > > On Wed, Apr 9, 2014 at 6:12 PM, Matt Roesener <[email protected]> > wrote: > > > >> Hello everyone, > >> > >> While experimenting with the NLP projects using CEPT and the temporal > >> pooler, I came across an idea. Could I feed into the temporal pooler > >> ingredients data such as "tomato, onion..." or "eggs, bacon, potatoes", > >> learn the sequences, and make predictions of the next ingredient? My > >> thinking is to learn food associations from thousands of other food > recipes > >> but also create new food associations or recipes? > >> > >> Is this this logic reasonable to accomplish using Nupic or will > >> additional regions be needed? > >> > >> Any thought process would be much appreciated! > >> > >> Thank you, > >> > >> Matt > >> > >> > >> > >> _______________________________________________ > >> nupic mailing list > >> [email protected] > >> http://lists.numenta.org/mailman/listinfo/nupic_lists.numenta.org > >> > >> > > > > _______________________________________________ > > nupic mailing list > > [email protected] > > http://lists.numenta.org/mailman/listinfo/nupic_lists.numenta.org > > > > > -------------- next part -------------- > An HTML attachment was scrubbed... > URL: < > http://lists.numenta.org/pipermail/nupic_lists.numenta.org/attachments/20140410/25275ea9/attachment-0001.html > > > > ------------------------------ > > Subject: Digest Footer > > _______________________________________________ > nupic mailing list > [email protected] > http://lists.numenta.org/mailman/listinfo/nupic_lists.numenta.org > > > ------------------------------ > > End of nupic Digest, Vol 12, Issue 23 > ************************************* > -- Regards, Matthew W. Roesener Tel: +808.542.9978 Email: [email protected] LinkedIn: http://www.linkedin.com/in/matthewroesener
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