This is the Linux app named Gorse Recommender System Engine whose latest release can be downloaded as gorse_darwin_amd64.zip. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS:
Gorse Recommender System Engine
DESCRIPTION:
An open-source recommender system service written in Go. Recommend items from Popular, latest, user-based, item-based and collaborative filtering. Search the best recommendation model automatically in the background. Support horizontal scaling in the recommendation stage after single node training. Support Redis, MySQL, Postgres, MongoDB, and ClickHouse as its storage backend. Expose RESTful APIs for data CRUD and recommendation requests. Analyze online recommendation performance from recently inserted feedback. Provide GUI for data management, system monitoring, and cluster status checking. Gorse is an open-source recommendation system written in Go. Gorse aims to be a universal open-source recommender system that can be easily introduced into a wide variety of online services. By importing items, users and interaction data into Gorse, the system will automatically train models to generate recommendations for each user.
Features
- Multi-source
- AutoML
- Distributed prediction
- Online evaluation
- Multi-database support
- RESTful APIs
Programming Language
Go
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/gorse-recommender-sys.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.