Search Results for "recommendation"

...There is also a tutorial provided on undirected graphs. Some tutorials are problem oriented and show how to compute the winner of an election, how to build a best choice recommendation, or how to linearly rank or rate with multiple incommensurable performance criteria. Other tutorials concern more specifically operational aspects of computing maximal independent sets (MISs) and kernels in graphs and digraphs.

easyrec is a recommender system that aims for easy integration of recommendations into web applications. It has a web based admin tool, and its recommendation engine is accessible through a REST API, providing methods like 'other users also bought'

TER implements the CCSDS Recommendation for Image Data Compression (CCSDS 122.0-B-1). TER also adds new features to the Recommendation. TER is designed and programmed with the aim to provide a good basis to test and develop the CCSDS Recommendation.

Multi-categorization Recommendation Adjusting (MRA) is to optimize the results of recommendation based on traditional(basic) recommendation models, through introducing objective category information and taking use of the feature that users always get the habits of preferring certain categories. Besides this, there are two advantages of this improved model: 1) it can be easily applied to any kind of existing recommendation models.

SimCampus is a software programmed in java. The goal of this project has been the development of a simulation tool for recommendation system of extracurricular activities on a university campus. This simulation provides the advantage to avoid problems that may develop during a real implementation and operation of this system. It is simulated a recommendation system of extracurricular activities for students of a university campus considering their free time (time between classes) and preferences (interest, hobbies). ...

The metabolomics standards initiative (msi) will develop a Core Information for Metabolomics Reporting (CIMR) recommendation and a more formal and semantically defined corresponding ontology (msi-ontology).

Design and develop Recommendation and Adaptive Prediction Engines to address eCommerce opportunities. Build a portfolio of engines by creating and porting algorithms from multiple disciplines to a usable form. Try to solve NetFlix and other challenges.

AmphetaRate is the first RSS recommendation server. It calculates your likes/dislikes to create a personalized RSS recommendation feed. We also currently provide an aggregator based on AmphetaDesk to communicate to AmphetaRate.