I agree, l also found that situation where I was requested to somehow include views in one recommender (Following the intuitive idea that if we put more data into the algorithm it should work better) but it was counterproductive. If you are trying to generate purchases, many times it makes no sense to add or use views data when you already have purchase data.
2014-08-18 20:33 GMT+02:00 Ted Dunning <[email protected]>: > Can you say more about the data you have? How are you processing that > data? > > I also had a situation where "also viewed" performed poorly. The problem > was actually that viewing is a very poor indication of engagement. Getting > a better indication (viewed for 30 seconds) made a world of difference in > the results. No amount of fiddling with the raw view data itself made any > difference. > > > > > > > > On Mon, Aug 18, 2014 at 3:15 AM, Sigmund Lee <[email protected]> wrote: > > > I used to using Mahout's Log-likelihood and Tanimoto coefficient as > > similarity algo for this scenario, but the results was not so good. So I > > wondering if there are another algos that can be used to fit this > scenario > > better? For example, co-occurrences matrix that introduced in Mahout In > > Action? > > > > > > Thanks in advance. > > > > Bests. > > >
