recbole-cdr

A unified, comprehensive and efficient cross-domain-recommendation library

Project description

RecBole-CDR is developed based on RecBole for reproducing and developing cross-domain-recommendation algorithms in a unified, comprehensive and efficient framework for research purpose. In the first version, our library includes 10 cross-domain-recommendation algorithms.

Project details

Release history Release notifications | RSS feed

This version

0.1.0

May 30, 2022

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

recbole-cdr-0.1.0.tar.gz (13.4 MB view hashes)

Uploaded May 30, 2022 Source

Built Distribution

recbole_cdr-0.1.0-py3-none-any.whl (13.5 MB view hashes)

Uploaded May 30, 2022 Python 3

Hashes for recbole-cdr-0.1.0.tar.gz

Hashes for recbole-cdr-0.1.0.tar.gz
Algorithm	Hash digest
SHA256	`8597d575bf89e77999cdd749079733c0341583adbddf4fc6cd8030893fc2499f`
MD5	`f1158508995103cb232d3c084cfd8b15`
BLAKE2b-256	`b7d0f0e9187fbdd7778b9ba00b7a444b400466ee3b7d597bf3156930e1126fef`

Hashes for recbole_cdr-0.1.0-py3-none-any.whl

Hashes for recbole_cdr-0.1.0-py3-none-any.whl
Algorithm	Hash digest
SHA256	`0b500e6225b7a5bd4c33f59ba73650365427e639e3517ba57ae4f16b2af0c2c7`
MD5	`28cceaa116c9199266eb130d1808c3c2`
BLAKE2b-256	`5a00f2231e023a410e99c3583418bfa7b12215d32520d8cd092f815f0f306c23`