nilesh2797/zestxml
This is the official codebase for KDD 2021 paper Generalized Zero-Shot Extreme Multi-Label Learning
This project helps you automatically tag documents or recommend products from a vast number of potential categories, including ones you haven't explicitly trained for. You provide your documents and their features, along with a list of possible tags and their features, and it predicts the most relevant tags for new items. This is ideal for content managers, e-commerce specialists, or data scientists working with very large and evolving classification systems.
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Use this if you need to automatically categorize new content or recommend items using a very large set of labels, especially when some labels are new or lack historical examples.
Not ideal if you have a small, static set of labels, or if your labeling task does not involve predicting for unseen categories.
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24
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1
Language
C++
License
BSD-3-Clause
Category
Last pushed
Jul 25, 2022
Commits (30d)
0
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