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LensKit

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  Analyzed about 14 hours ago

LensKit is an open source toolkit for building, researching, and studying recommender systems, providing an API for common recommender use cases, implementations of widely-used algorithms, and tools for evaluating recommender performance.

49.5K lines of code

0 current contributors

over 2 years since last commit

2 users on Open Hub

Inactive
0.0
 
0 Reviews
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Mostly written in Java
Licenses: lgpl
Tags collaborativefiltering collectiveintelligence java recommendation recommender

Apache PredictionIO

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  No analysis available

Apache PredictionIO is an open source machine learning server. It enables developers and data engineers to build smarter web and mobile applications through a simple set of APIs. Admin UI is provided for developers to select and tune algorithms. Some benefits of using Apache PredictionIO: - ... [More] create predictive features quickly with built-in algorithms. - build your own ML algorithms on top of a state-of-the-art infrastructure. - find the best algorithm for your application. - handle big data well - PredictionIO is very scalable. - serve real-time prediction queries through robust APIs and SDKs. [Less]

0 lines of code

11 current contributors

0 since last commit

1 users on Open Hub

Activity Not Available
5.0
 
0 Reviews
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Mostly written in language not available
Licenses: apache_2
Tags ai algorithms collaborativefiltering data_mining datamining developer developerapi hadoop machine_learning machinelearning mahout mobileapplication 8 more...

Mantis Recommends

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  Analyzed about 2 hours ago

This is a tool which does recommendations of bugs already done based on tags. It uses the bugtracker Mantis as source of bugs.

1.06K lines of code

0 current contributors

over 16 years since last commit

0 users on Open Hub

Inactive
0.0
 
0 Reviews
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Mostly written in C++
Licenses: No declared licenses
Tags mantis recommendation

EEXCESS/recommender

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  Analyzed about 13 hours ago

The vision of EEXCESS is to push high-quality content from the so-called long tail to platforms and devices which are used every day. Instead of navigating a multitude of libraries, repositories and databases, users will find relevant and specialised information in their habitual environment. ... [More] EEXCESS stands for: Enhancing Europe’s eXchange in Cultural Educational and Scientific reSources and is funded by the EU under GA No. 600601 [Less]

41.4K lines of code

0 current contributors

about 8 years since last commit

0 users on Open Hub

Inactive
0.0
 
0 Reviews
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Mostly written in Java
Licenses: No declared licenses
Tags cultural_heritage federatedsearch informationretreival information_retrieval longtail privacy recommendation search search_engine searchengine

KaVE Project

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  Analyzed about 12 hours ago

The KaVE project features an interaction tracker for Visual Studio, a platform for the development of recommendation systems in software engineering, several datasets of both interaction data and released source code, and an intelligent method completion for Visual Studio. Please visit the homepage for details.

375K lines of code

0 current contributors

almost 6 years since last commit

0 users on Open Hub

Inactive
5.0
 
0 Reviews
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Mostly written in Java
Licenses: apache_2
Tags CARET dataset engineering evaluation FeedBaG FeedBaG++ interaction mining recommendation research rsse software 2 more...