#计算机科学#Gorse是一个用Go语言编写的开源推荐系统。Gorse的目标是成为一个通用的开源推荐系统,可以很容易地被引入到各种各样的在线服务中。通过将物品、用户和交互数据导入到Gorse中,系统将自动训练模型,为每个用户生成推荐。
#计算机科学#A unified, comprehensive and efficient recommendation library
翻译 - 统一,全面,高效的推荐库
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.
翻译 - 用于推荐和广告的深度匹配模型库。训练模型和导出用户和项目的表示向量非常容易,可用于ANN搜索。
This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.
翻译 - 这是我们在RecSys 2019中发表的文章的资料库,``我们真的取得了很大进展吗?对最近的神经推荐方法的担忧分析''
[WWW'2024] "RLMRec: Representation Learning with Large Language Models for Recommendation"
PHP implementation of the (Weighted Slopeone,Cosine, Weighted Cosine) rating-based collaborative filtering schemes.