starspace

We have hosted the application starspace in order to run this application in our online workstations with Wine or directly.

Quick description about starspace:

StarSpace is a general-purpose embedding-based learning framework that trains embeddings for entities (words, sentences, users, items) under various supervision signals (classification, ranking, matching). Instead of focusing on one task, StarSpace supports multi-task and multi-domain setups�for instance, you can train embeddings so that textual queries match item descriptions, sentences map to labels, or users align with liked items in the same embedding space. The training objective is contrastive: for a given query embedding, positive and negative examples are sampled and the model is optimized to score positive higher than negatives. The library supports a variety of tasks (text classification, nearest-neighbor search, recommendation, entity linking) with simple configuration. It includes efficient batching, negative sampling strategies, and on-the-fly embedding updates.

Features:

• Contrastive embedding learning supporting classification, ranking, and matching
• Multi-domain capability: embeddings for users, items, queries, entities in unified space
• Efficient negative sampling and batching for scalable training
• Support for multiple task types (text classification, recommendation, entity linking)
• Command-line tools and configuration-driven workflows
• Examples and sample datasets for quick experimentation and adoption

Programming Language: C++.
Categories: