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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Curious about the algorithm behind the persoanlization feature of spotify

https://developer.spotify.com/web-api/get-users-top-artists-and-tracks/ Get a User’s Top Artists and Tracks Get the current user’s top artists or tracks based on calculated affinity. Affinity is a measure of the expected preference a user has for a…
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Find similar items based on item attributes

Most of the recommendation algorithm in mahout requires user-item preference. But I want to find similar items for a given item. My system doesn't have user inputs. i.e. for any movie these can be attribute which can be use to find similarity…
Anurag Tripathi
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Creating an Item-based Recommender using Apache Mahout

I'm trying to use Apache Mahout to create an Item-based recommender that recommends back items based off of similar items that other users also have in common. I start by creating a DataModel and then I've tried passing it into various different…
Benya16
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What is prediction function applied for Recommendations used Tanimoto Coefficient for Item-based CF

I'm constructing a recommender system which use Item-based collaborative filtering. But I have a problem with the predict function I don't know which function can be used when calculating similarities between different items (Movies) by using…
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Text recommendation with Lucene/solr/mahout

I'm working on a project where I need to implement an article/news recommendation engine. I'm thinking of combining different methods (item-based, user based, model CF) and have a question regarding the tool to use. From my research Lucene is…
Alex
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Mahout content-based similarity

I have created a custom item similarity that simulates content-based similarity based on a product taxonomy. I have a user who likes only two items: UserId ItemId Preference 7656361 1449133 1.00 7656361 18886199 8.00 My custom…
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Recommendation system based on user liking in mahout

How we can run a recommendation system on Apache Mahout based on user liking or browsing history? In short on a content based websites 95% traffic by non logged in users and they will come via search engine. They only way we can unique them by using…
Ananth Duari
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Computing preference values in Apache Mahout

I am trying to learn Apache mahout, very new to this topic. I want to implement user-based recommender. For this, after exploring on the internet I have found some samples like below, public static void main(String[] args) { try { …
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How to implement Mahout spark-similarity algorithm for recommendation

I have been struggling to understand how to implement user/item based recommendation using Mahout-Samsara, but not able to understand how to use it. I have very basic knowledge of Mahout Map Reduce based algorithms but now Mahout declared RIP to…
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Items Similarity based on their features

I have a dataset with items but with no user ratings. Items have features (~400 feature). I want to measure the similarity between items based on features (Row similarity). I convert the item-feature into a binary matrix like the…
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Similar product recommendation based on Spark ALS

We are using SparkML's ALS implementation to give user-product recommendations. This is working great. We want to expand the recommendations to product-product similarity. In other words given a products suggest similar products that users…
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ClassNotFound using model from Mahout

Hello guys i have this error after following the documentation and tutorial as i'm attempting to use mahout. It complains about DataModel even though it's included in the pom.xml. Could someone please tell me what i did wrong: Exception in thread…
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Multi-variable Recommender System

I went through tutorials on implementing Recommender System and most of them takes one variable (rank). I want to implement an Item-Based Recommender System which takes multiple variables. Eg : Let's say an Item (bar) has following varables (values…
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Context aware recommendation engine

I am looking for context aware (location,time,companion) recommendation system. I found bunch of good recommendation systems (mahout, PredictionIO, easyrec). But unfortunately I am not convinced with any of those. On further googling I found…
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Dropwizard Application crashed by AbstractJAXBProvider

I have a server application implemented using Dropwizard and Gradle as Build System. Now I want to integrate Apache Mahout for some recommender system action. After adding the Mahout dependency and try to run, I get exceptions. My initial…
akohout
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