Thank you Sebastian&Martin&Scott. I checked 'https://cwiki.apache.org/confluence/display/MAHOUT/Quick+tour+of+text+analysis+using+the+Mahout+command+line'. It looks like the case what I said.But I am using JAVA with a Mysql database, is there an example related to this?
thanks. ------------------ Original ------------------ From: "Scott C. Cote";<[email protected]>; Date: Wed, Feb 12, 2014 11:47 PM To: "[email protected]"<[email protected]>; Subject: Re: get similar items Since you are relying on unguided data - switch from recommenders/classifier to clustering. Anyone else agree with me on this??? SCott On 2/12/14 9:04 AM, "Martin, Nick" <[email protected]> wrote: >Yeah, since it would appear you're lacking requisite data for >recommenders the only other thing I can think of in this case is >potentially treating the movie records as documents and clustering them >(via whatever might be in the 'description' field). > >Have a look here >https://cwiki.apache.org/confluence/display/MAHOUT/Quick+tour+of+text+anal >ysis+using+the+Mahout+command+line and see if you can support something >like this with your dataset. > >-----Original Message----- >From: Sebastian Schelter [mailto:[email protected]] >Sent: Wednesday, February 12, 2014 6:28 AM >To: [email protected] >Subject: Re: get similar items > >Hi, > >Mahout's recommenders are based on analyzing interactions between users >and items/movies, e.g. ratings or counts how often the movie was watched. > > >On 02/12/2014 11:34 AM, N! wrote: >> Hi all: >> Does anyone have any suggestions for the questions below? >> >> >> thanks a lot. >> >> >> ------------------ Original ------------------ >> Sender: "N!"<[email protected]>; >> Send time: Wednesday, Feb 12, 2014 6:17 PM >> To: "user"<[email protected]>; >> >> Subject: Re: get similar items >> >> >> >> Hi Sean: >> Thanks for the reply. >> Assume I have only one table named 'movie' with 1000+ >>records, this table have three >>columns:'id','movieName','movieDescription'. >> Can Mahout calculate the most similar movies for a >>movie.(based on only the 'movie' table)? >> code like: List mostSimilarMovieList = >>recommender.mostSimilar(int movieId). >> if not, do you have any suggestions for this scenario? >> > .
