Group: org.ranksys - All Dependencies

${project.groupId}:${project.artifactId} · Java 8 Factorization Machines Library.

${project.groupId}:${project.artifactId} · RankSys module, providing support for generating recommendation lists.

${project.groupId}:${project.artifactId} · RankSys module, providing novelty metrics and enhancement techniques.

${project.groupId}:${project.artifactId} · RankSys module, providing common resources for novelty and diversity metrics and enhancement techniques.

${project.groupId}:${project.artifactId} · RankSys module, providing nearest neighbors recommendation algorithms.

${project.groupId}:${project.artifactId} · RankSys module, providing matrix factorization recommendation algorithms.

${project.groupId}:${project.artifactId} · RankSys module, providing interfaces and common components for defining metrics.

${project.groupId}:${project.artifactId} · RankSys module, providing Latent Dirichlet Allocation for collaborative filtering recommendation algorithms.

${project.groupId}:${project.artifactId} · RankSys module, providing utilities for reading and writing into different formats of preference data, recommendations, etc.

${project.groupId}:${project.artifactId} · RankSys module, providing factorisation machines for recommendation tasks using JavaFM.

${project.groupId}:${project.artifactId} · RankSys module, providing support for fast and efficient implementation of data structures and algorithms.

${project.groupId}:${project.artifactId} · RankSys module, providing examples of usage of the other modules.

${project.groupId}:${project.artifactId} · RankSys module, providing diversity metrics and enhancement techniques.

${project.groupId}:${project.artifactId} · RankSys module, providing common and auxiliary classes of the framework.

${project.groupId}:${project.artifactId} · RankSys module, providing state-of-art compression techniques for in-memory collaborative filtering.

${project.groupId}:${project.artifactId} · Java 8 Recommender Systems framework for novelty, diversity and much more.