I don't want to go off topic but perhaps its possible to use cf by creating super product id's of combined purchases 101 1 101 2 > implies 101 3 where 3 is a product which represents the purchase of 1 and 2 > in a time frame. users / items associated with 3 have a pref for item / users > ...
However I know its not your original focus of the your question so maybe theiris a much better way lee c On 27 November 2011 10:17, Nishant Chandra <[email protected]> wrote: > Are you talking about CF? Can you please explain a bit? > > To be clear, for my use case, temporal sequence is important. > > Nishant > > On Sun, Nov 27, 2011 at 3:44 PM, Paritosh Ranjan <[email protected]> wrote: >> Have you checked out the recommendation algorithms? I think this can be >> easily done using them. >> >> Paritosh >> >> On 27-11-2011 15:39, Nishant Chandra wrote: >>> >>> Use case is related to purchase transactions. >>> >>> Sample data set: >>> Customer ID Acquisition time Products >>> 101 30 June 2007 Product 1 >>> 101 12 August 2007 Product 3 >>> 101 20 December 2008 Product 4 >>> 102 10 September 2008 Product 3 >>> 102 12 September 2008 Product 5 >>> 102 20 January 2009 Product 5..... >>> >>> Sample rule: >>> Rule ID Consequent Antecedents Support % >>> Confidence % >>> Rule 1 Product 4 Product 1 then Product 3 57.1 >>> 75.0 >>> >>> I want to identify rules such as: after acquiring product 1 and then >>> product 3, customers have an increased likelihood >>> (75%) of purchasing product 4 next. >>> >>> Thanks, >>> Nishant >>> >>> >>> On Sun, Nov 27, 2011 at 3:27 PM, Paritosh Ranjan<[email protected]> >>> wrote: >>>> >>>> Can you tell something about your use case? >>>> >>>> Paritosh >>>> >>>> On 27-11-2011 15:14, Nishant Chandra wrote: >>>>> >>>>> Hi, >>>>> >>>>> Is there any implementation for Sequential Pattern Mining in Mahout? I >>>>> see there is an implementation of Sequential Pattern Mining but I am >>>>> unsure if it can be used for my use case. >>>>> >>>>> Thanks, >>>>> Nishant >>>>> >>>>> >>>>> ----- >>>>> No virus found in this message. >>>>> Checked by AVG - www.avg.com >>>>> Version: 10.0.1411 / Virus Database: 2092/4041 - Release Date: 11/26/11 >>>> >>> >>> ----- >>> No virus found in this message. >>> Checked by AVG - www.avg.com >>> Version: 10.0.1411 / Virus Database: 2092/4041 - Release Date: 11/26/11 >> >> >
