This can definitely be useful. "Frequently bought together" is something amazon does, though surprisingly, you don't get a discount. Perhaps it can lead to offering (or avoiding!) deals on frequent itemsets.
This is a good resource for frequent itemsets implementations: http://infolab.stanford.edu/~ullman/mmds/ch6.pdf From: rpuj...@hortonworks.com Date: Fri, 5 Dec 2014 10:31:17 -0600 Subject: Re: Market Basket Analysis To: so...@cloudera.com CC: t...@preferred.jp; user@spark.apache.org This is a typical use case "people who buy electric razors, also tend to buy batteries and shaving gel along with it". The goal is to build a model which will look through POS records and find which product categories have higher likelihood of appearing together in given a transaction. What would you recommend? On Fri, Dec 5, 2014 at 7:21 AM, Sean Owen <so...@cloudera.com> wrote: Generally I don't think frequent-item-set algorithms are that useful. They're simple and not probabilistic; they don't tell you what sets occurred unusually frequently. Usually people ask for frequent item set algos when they really mean they want to compute item similarity or make recommendations. What's your use case? On Thu, Dec 4, 2014 at 8:23 PM, Rohit Pujari <rpuj...@hortonworks.com> wrote: > Sure, I’m looking to perform frequent item set analysis on POS data set. > Apriori is a classic algorithm used for such tasks. Since Apriori > implementation is not part of MLLib yet, (see > https://issues.apache.org/jira/browse/SPARK-4001) What are some other > options/algorithms I could use to perform a similar task? If there’s no > spoon to spoon substitute, spoon to fork will suffice too. > > Hopefully this provides some clarification. > > Thanks, > Rohit > > > > From: Tobias Pfeiffer <t...@preferred.jp> > Date: Thursday, December 4, 2014 at 7:20 PM > To: Rohit Pujari <rpuj...@hortonworks.com> > Cc: "user@spark.apache.org" <user@spark.apache.org> > Subject: Re: Market Basket Analysis > > Hi, > > On Thu, Dec 4, 2014 at 11:58 PM, Rohit Pujari <rpuj...@hortonworks.com> > wrote: >> >> I'd like to do market basket analysis using spark, what're my options? > > > To do it or not to do it ;-) > > Seriously, could you elaborate a bit on what you want to know? > > Tobias > > > > CONFIDENTIALITY NOTICE > NOTICE: This message is intended for the use of the individual or entity to > which it is addressed and may contain information that is confidential, > privileged and exempt from disclosure under applicable law. If the reader of > this message is not the intended recipient, you are hereby notified that any > printing, copying, dissemination, distribution, disclosure or forwarding of > this communication is strictly prohibited. If you have received this > communication in error, please contact the sender immediately and delete it > from your system. Thank You. -- Rohit Pujari Solutions Engineer, Hortonworksrpujari@hortonworks.com716-430-6899 CONFIDENTIALITY NOTICENOTICE: This message is intended for the use of the individual or entity to which it is addressed and may contain information that is confidential, privileged and exempt from disclosure under applicable law. If the reader of this message is not the intended recipient, you are hereby notified that any printing, copying, dissemination, distribution, disclosure or forwarding of this communication is strictly prohibited. If you have received this communication in error, please contact the sender immediately and delete it from your system. Thank You.
