No the trending algorithm is meant to look at something like trends over 2 days. This is because it looks at 2 buckets of conversion frequencies and if you cut them smaller than a day you will have so much bias due to daily variations that the trends will be invalid. In other words the ups and downs over a day period need to be made irrelevant and taking day long buckets is the simplest way to do this. Likewise for “hot” which needs 3 buckets and so takes 3 days worth of data.
Maybe what you need is to just count conversions for 30 minutes as a realtime thing. For every item, keep conversions for the last 30 minutes, sort them periodically by count. This is a Kappa style algorithm doing online learning, not really supported by PredictionIO. You will have to experiment with the length of time since a too small period will be very noisy, popping back and forth between items semi-randomly. From: George Yarish <[email protected]> <[email protected]> Reply: [email protected] <[email protected]> <[email protected]> Date: June 20, 2018 at 8:34:10 AM To: [email protected] <[email protected]> <[email protected]> Subject: UR trending ranking as separate process Hi! Not sure this is correct place to ask, since my question correspond to UR specifically, not to pio itself I guess. Anyway, we are using UR template for predictionio and we are about to use trending ranking for sorting UR output. If I understand it correctly ranking is created during training and stored in ES. Our training takes ~ 3 hours and we launch it daily by scheduler but for trending rankings we want to get actual information every 30 minutes. That means we want to separate training (scores calculation) and ranking calculation and launch them by different schedule. Is there any easy way to achieve it? Does UR supports something like this? Thanks, George
