Thanks, Tim. Any time. Best,
Rachel ________________________________________ From: Ted Dunning [[email protected]] Sent: Friday, January 10, 2014 8:09 PM To: [email protected] Subject: Re: Item recommendation w/o users or preferences This talk of support and overlap smacks of very poor coocccurrence analysis. See http://tdunning.blogspot.com/2008/03/surprise-and-coincidence.html for a better option. On Fri, Jan 10, 2014 at 8:05 PM, Tim Smith <[email protected]> wrote: > Very awesome, thank you! I am twisting the support knob right now! > > Sequential analysis in the sense that I A/B test my recommendations and > feed the conversion rates back into my next set of recommendations or > something else? > > > From: [email protected] > > To: [email protected] > > Subject: RE: Item recommendation w/o users or preferences > > Date: Sat, 11 Jan 2014 03:53:41 +0000 > > > > My mail crossed with yours. Try market basket analysis and sequential > analysis. With the market basket analysis, there are often a lot of > frequent basket combinations that are not that useful. You may want to > lower the support to get some more infrequent combinations, but up the > confidence level. > > > > Good luck. > > > > Rachel > > ________________________________________ > > From: Tim Smith [[email protected]] > > Sent: Friday, January 10, 2014 7:39 PM > > To: [email protected] > > Subject: RE: Item recommendation w/o users or preferences > > > > Yes, thank you - read through it and several of the item and user > recommendation examples. The objective is to recommend based on the > current basket - given no users/preferences (but I do have a history of > transactions) - I have been able to leverage the item mining algorithm to > calculate support and confidence values. When I use a support threshold of > 10% and group by product and sort descending on confidence I am left we a > ranking of item combos. Basically a top N list by item that I would use to > drive the recommendations. In the actual use case, the requirement is not > to recommend a product every time, rather the most likely products based on > a given basket - with my arbitrary thresholds, I would expect to exclude > some baskets. > > > > > From: [email protected] > > > To: [email protected] > > > Subject: RE: Item recommendation w/o users or preferences > > > Date: Sat, 11 Jan 2014 03:08:30 +0000 > > > > > > I think the key question is what is the desired outcome? If you don't > have users (customers) for which you'd like to generate recommendations > that really handcuffs you from a recommendation standpoint. > > > > > > I'd recommend starting with a read through this: > http://mahout.apache.org/users/recommender/recommender-first-timer-faq.htmlto > get a feel for what Mahout does in the recommendation space. > > > > > > -----Original Message----- > > > From: Tim Smith [mailto:[email protected]] > > > Sent: Friday, January 10, 2014 8:27 PM > > > To: [email protected] > > > Subject: Item recommendation w/o users or preferences > > > > > > Say I have a retail organization that doesn't sell a diverse set of > products, eg 2000, but has many small transactions. Also say that I don't > have any user or preference information. Is it reasonable to use pattern > mining (market baskets) and recommend items based on a set of thresholds > for support, confidence, and lift? If not, what are my options? > > > > > > > "Email Firewall" made the following annotations. > > > ------------------------------------------------------------------------------ > > > > Warning: > > All e-mail sent to this address will be received by the corporate e-mail > system, and is subject to archival and review by someone other than the > recipient. This e-mail may contain proprietary information and is intended > only for the use of the intended recipient(s). If the reader of this > message is not the intended recipient(s), you are notified that you have > received this message in error and that any review, dissemination, > distribution or copying of this message is strictly prohibited. If you > have received this message in error, please notify the sender immediately. > > > > > ============================================================================== > > > > "Email Firewall" made the following annotations. ------------------------------------------------------------------------------ Warning: All e-mail sent to this address will be received by the corporate e-mail system, and is subject to archival and review by someone other than the recipient. This e-mail may contain proprietary information and is intended only for the use of the intended recipient(s). If the reader of this message is not the intended recipient(s), you are notified that you have received this message in error and that any review, dissemination, distribution or copying of this message is strictly prohibited. If you have received this message in error, please notify the sender immediately. ==============================================================================
