After I run: mahout org.apache.mahout.cf.taste.example.jester.JesterRecommenderEvaluatorRunner mahout org.apache.mahout.cf.taste.example.jester.JesterRecommenderEvaluatorRunner
what does it mean by \"f: U x I -> S\"? My material says this function predicts rating of a user u for a new item i. But what is \"x\" there? Anyone please explain the symbols for me..
I need to implement collaborative filtering techniques to gives users similar functionality which Amazon gives when you an individual item that is,\"People who visited this also visited these\". I hav
I\'m struggling to figure out how exactly to begin using SVD with 开发者_JAVA百科a MovieLens/Netflix type data set for rating predictions. I\'d very much appreciate any simple samples in python/java,
I\'m attempting to implement a Slope One algorithm via PHP for user-based item recommendation. To do this, I\'m using the OpenSlopeOne library. The problem I\'m having is that the recommendations gene
i am building a recommendation system in my application and i am probably going to use apache mahout, i ve to collect a big 开发者_开发百科dataset, it ll be collected over a period of time...so which
The MovieLens data set provides a table with columns: userid | movieid | tag | timestamp I have trouble reproducing the way they pruned the MovieLens data set used in:
Using Python, I\'m computing cosine similarity across items. given event data that represents a purchase (user,item), I have a list of all items \'bought\' by my users.
I`m making an online engine for item-to-item recommending movies. I have made some researches and I think that the best way to implement that is using pearson correlation and make a table with item1,
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