GitHub / tangxyw / RecSysPapers
推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tangxyw%2FRecSysPapers
PURL: pkg:github/tangxyw/RecSysPapers
Stars: 1,835
Forks: 246
Open issues: 2
License: bsd-2-clause
Language: Python
Size: 1.59 GB
Dependencies parsed at: Pending
Created at: almost 3 years ago
Updated at: 15 days ago
Pushed at: 15 days ago
Last synced at: 15 days ago
Commit Stats
Commits: 151
Authors: 2
Mean commits per author: 75.5
Development Distribution Score: 0.02
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/tangxyw/RecSysPapers
Topics: calibration, causal-inference, cold-start, contrastive-learning, debias, distillation, diverse, fairness, feedback-delay, look-alike, match, multi-modal, multi-scenario, multi-task, papers, pre-rank, rank, re-rank, recommendation-system, reinforcement-learning