https://github.com/jose-blockchain/datahipsters
DataHipsters is a service implementing MinHash similarity on a Key-Value Database (Google AppEngine/GCloud), including an API for k-nearest neighbors (k-nn) used in Online Recommender Systems.
https://github.com/jose-blockchain/datahipsters
gcloud google-appengine knearest-neighbors machine-learning minhash-similarity python
Last synced: 9 months ago
JSON representation
DataHipsters is a service implementing MinHash similarity on a Key-Value Database (Google AppEngine/GCloud), including an API for k-nearest neighbors (k-nn) used in Online Recommender Systems.
- Host: GitHub
- URL: https://github.com/jose-blockchain/datahipsters
- Owner: jose-blockchain
- Created: 2017-10-20T03:48:43.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2020-10-16T16:12:20.000Z (over 5 years ago)
- Last Synced: 2025-07-13T04:47:44.971Z (10 months ago)
- Topics: gcloud, google-appengine, knearest-neighbors, machine-learning, minhash-similarity, python
- Language: Python
- Homepage:
- Size: 4.04 MB
- Stars: 1
- Watchers: 0
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# datahipsters
DataHipsters is a service implementing Streaming MinHash similarity over Google AppEngine, including an API for k-nearest neighbors (k-nn) used in Online Recommender Sytems.