I\'m using Mahout with the Pearson Correlation algorithm to compare and find similar users based on their preferences for several 开发者_Go百科items.The problem I\'m running into is that Mahout and/or
Has anyone successfully integrated Apache Mahout with Neo4j as a datastore? If so, how much works was involved, and what was the pe开发者_JS百科rformance like?I haven\'t heard from anyone that\'s trie
i am new to mahout. I have already used mahout\'s item based algorithm with a loglikelihood similarity measure. I read in past threads that it is better to use loglikelihood similarity when the reco
I am implementing the Mahout user-based recommendation engine where the recommendations will be served via RecommenderServlet running in Tomcat.
I am using Mahout to build a user-based recommendation system which operates with boolean data. I use GenericBooleanPrefUserBasedRecommender, NearestNUserNeighborhood and now trying to decide about t
first of all new to mahout, apache, maven etc - so apologies if some if this is obvious. I have a typical market basket data set ie
Is it possible to use an id which isn\'t an integer using taste? My model may have preferences for remote products. To differentiate these we use a string identifier which is \"locationId:itemId\".
Have any one know recommendation algorithm in mahout for finding support and confidence from given dataset开发者_如何学编程s of User id , Item id and Item preference value..And based on that informati
I have list of strings. (pretty big list of ids and strings scattered in 4-5 big files. around a GB each). These strings are formatted like this:
I am trying to write a short script to cluster my data via clojure (calling Mahout classes though). I have my input data in this format (which is an output from a php script)
加载中,请稍侯......