Not necessarily. Ordering breakfast by indicating all the things I don't want to eat is "negative relevance feedback" and can be very powerful.
From: Ted Dunning Sent: Wednesday, February 16, 2011 11:27 PM To: [email protected] Cc: Lance Norskog Subject: Re: Sparse data & Item Similarity Actually, almost all implicit negative ratings are very close to useless. The analogy would be ordering breakfast in a diner by saying all the things you don't want to eat to a waitress. The waitress will shortly yearn for a positive rating. On Wed, Feb 16, 2011 at 9:28 PM, Lance Norskog <[email protected]> wrote: > If I was the business, I would analyze the "put in cart but did not > buy" list. Negative ratings are just as useful as positive ratings. > Possibly this gives a +1/-1 ternary value? > > On Wed, Feb 16, 2011 at 8:07 PM, Ted Dunning <[email protected]> > wrote: > > My experience is that there is a very small number of events that > indicates real engagement. Using them in the form of Boolean preferences > helps results. A lot. > > > > Using all of the other events that do not indicate engagement is a total > waste of resources because you are simply teaching the machine about things > you don't care about. > > > > Moreover there are probably some kinds of events that vastly outnumber > others. Events that are less than 1% of your can matter bit often not. > > > > The valuable secret sauce you will gain is which events are which. Which > make your system sing and which ones just clog up the drains. > > > > Matthew wrote: > > users can do.. "view", "add to cart", and "buy" which I've assigned > > different preference values to. Perhaps it would be better to simply > > use boolean yes/no in my case? > > > > > > -- > Lance Norskog > [email protected] >
