Questions tagged [mahout-recommender]

A collaborative filtering engine takes users' preferences for items and returns estimated preferences for other items.

Mahout provides a rich set of components from which you can construct a customized recommender system from a selection of algorithms. Mahout is designed to be enterprise-ready; it's designed for performance, scalability and flexibility.

See Mahout Recommender Documentation

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Hybrid recommender in spark

I am trying to build a hybrid recommender using prediction.io which functions as a layer on top of spark/mllib under the hood. I'm looking for a way to incorporate a boost based on tags in the ALS algorithm when doing a recommendation request.…
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Is it possible to invoke Mahout's spark item-similarity job from Java/Python?

I am new to recommender systems and trying to decide between Apache Mahout and Spark ALS as the algorithmic core for my recommender engine. Does Mahout's spark item-similarity job only have a cli? The only related documentation that i have come…
neeraj baji
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Recommendation Based on the Item properties and user preference for item properties

There is an item , say in travelling domain "Goa" , now here we can have beaches , adventure etc. Now beaches and adventure is property of Goa. Now if a person prefer to travel at locations where there is beaches and also loves adventure. we will…
Abhimanyu
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Mahout Content Based Recommendation Engine

I am working on a recommendation problem (Content based recommendation). I have my data set in mongodb in json format. Problem Statement There are items which have their own properties, and users have some preference regarding each properties. Now…
Abhimanyu
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Using word2vec to calculate similarity between users

I recently came to know about this tool called word2vec. For my current work, I need to find out users that are similar to a given user. A single user has entities associated with it like age, qualifications, insitute/organisaions, languages known…
labyrinth
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Mahout: adjusted cosine similarity for item based recommender

For an assignment I'm supposed to test different types of recommenders, which I have to implement first. I've been looking around for a good library to do that (I had thought about Weka at first) and stumbled upon Mahout. I must therefore put…
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Not a single recommendation available with Apache Mahout

I have tested the user based recommendations with apache mahout and it is working well with the sample data provided. However, I have my own data but I am not able to get a single recommendation. I find out that it is due to the fact that the data…
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Mahout Recommender no output - about input file format

I'am using mahout-distribution-0.9. I have a problem in my program. import java.io.File; import java.util.List; import org.apache.mahout.cf.taste.model.DataModel; import org.apache.mahout.cf.taste.similarity.UserSimilarity; import…
Samt
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Mahout-Recommendation of Users

I'm trying to find a way, using apache Mahout, to recommend similar users and not Items. I have a list of Users each of them have read certain books. I wanted to ask if there is a way to recommend a group of users to another user based on what he…
paskun
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Trouble with Hadoop RecommenderJob

I have added my input files 'input.txt' and 'users.txt' to HDFS successfully. I have tested Hadoop and Mahout jobs separately with success. However, when I go to run a RecommenderJob with the following command line: bin/hadoop jar…
valtera45
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MySQLJDBCDataModel is missing in mahout 0.9

I am trying to use DataModel that reads from mysql. Unfortunately the class MySQLJDBCDataModel is missing in mahout 0.9. What is the alternative?
Hani
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Difference between similarity strategies in Mahout recommenditembased

I am using mahout recommenditembased algorithm. What are the differences between all the --similarity Classes available? How to know what is the best choice for my application? These are my…
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Mahout recommendation in implicit feedback situation

I'm working with the Mahout framework in order to get recommendations in implicit feedback context using the well-known movielens dataset (ml-100k) that I have binarized considering 1 all the ratings equal to four or five, zero all the other. In…
Alessandro Suglia
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Apache Mahout as Recommendation Engine

I want to use Apache Mahout as Recommendation Engine; but over here I found that it force us to use its own table called taste_preferences with only 3-4 columns and data type as number(Long/big int). Is it mandatory to use this table and store data…
Ravi
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Mahout Recommendation for non-logged-in/guest/anonymous user

In general, Mahout's datamodel contains UserId,ItemId,Prefs in the file, which translates to logged-in/registered users. But mostly we have non-logged-in/anonymous users, viewing our items e.g. in IMDB you watch movie details without login. For such…
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